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| File | Size |
|---|---|
| Data Science & Machine Learning - Hands on Data Science 2020/01 Introduction/001 Download and Install Anaconda - Windows.en.srt | 2.57 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/01 Introduction/001 Download and Install Anaconda - Windows.mp4 | 14.15 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/01 Introduction/002 Download and Install Anaconda - Ubuntu Linux.en.srt | 8.79 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/01 Introduction/002 Download and Install Anaconda - Ubuntu Linux.mp4 | 85.74 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/01 Introduction/003 Overview Of Jupyter Notebook.en.srt | 7.85 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/01 Introduction/003 Overview Of Jupyter Notebook.mp4 | 12.87 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/01 Introduction/004 Notes About Course.en.srt | 4.31 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/01 Introduction/004 Notes About Course.mp4 | 22.43 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/01 Introduction/005 Join Online Classroom.html | 2.24 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/01 Introduction/external-assets-links.txt | 326.00 B |
| Data Science & Machine Learning - Hands on Data Science 2020/02 Python crash course/006 Introduction - Python.en.srt | 2.07 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/02 Python crash course/006 Introduction - Python.mp4 | 2.92 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/02 Python crash course/006 Python-Crash-Course.zip | 2.64 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/02 Python crash course/007 Python - Number String Variable.en.srt | 12.22 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/02 Python crash course/007 Python - Number String Variable.mp4 | 24.41 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/02 Python crash course/008 Python - List tuples Dictionary Set.en.srt | 14.13 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/02 Python crash course/008 Python - List tuples Dictionary Set.mp4 | 25.40 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/02 Python crash course/009 Python - Ifelse Looping.en.srt | 11.62 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/02 Python crash course/009 Python - Ifelse Looping.mp4 | 20.48 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/02 Python crash course/010 Python - Function Lambda Map.en.srt | 14.95 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/02 Python crash course/010 Python - Function Lambda Map.mp4 | 25.22 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/02 Python crash course/011 Python Exercise.html | 1.88 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/03 Data analysis with Numpy/012 Introduction - Numpy - Numerica Python.en.srt | 4.50 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/03 Data analysis with Numpy/012 Introduction - Numpy - Numerica Python.mp4 | 5.85 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/03 Data analysis with Numpy/012 Numpy.zip | 2.40 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/03 Data analysis with Numpy/013 Numpy array.en.srt | 17.73 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/03 Data analysis with Numpy/013 Numpy array.mp4 | 29.66 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/03 Data analysis with Numpy/014 Numpy array operations.en.srt | 7.34 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/03 Data analysis with Numpy/014 Numpy array operations.mp4 | 13.77 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/03 Data analysis with Numpy/015 Indexing Slicing - Numpy array.en.srt | 12.29 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/03 Data analysis with Numpy/015 Indexing Slicing - Numpy array.mp4 | 21.01 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/03 Data analysis with Numpy/016 Numpy Exercise.html | 1.23 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/03 Data analysis with Numpy/external-assets-links.txt | 65.00 B |
| Data Science & Machine Learning - Hands on Data Science 2020/04 Data analysis with Pandas/017 Introduction - Pandas.en.srt | 3.69 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/04 Data analysis with Pandas/017 Introduction - Pandas.mp4 | 4.60 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/04 Data analysis with Pandas/017 Pandas.zip | 121.56 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/04 Data analysis with Pandas/018 Pandas - Introduction to Series.en.srt | 8.82 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/04 Data analysis with Pandas/018 Pandas - Introduction to Series.mp4 | 14.09 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/04 Data analysis with Pandas/019 Pandas - Introduction to Dataframe.en.srt | 15.45 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/04 Data analysis with Pandas/019 Pandas - Introduction to Dataframe.mp4 | 25.60 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/04 Data analysis with Pandas/020 Dataframe - Index Multiindex.en.srt | 10.87 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/04 Data analysis with Pandas/020 Dataframe - Index Multiindex.mp4 | 19.83 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/04 Data analysis with Pandas/021 Handling Missing Data - dropna fillna.en.srt | 10.51 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/04 Data analysis with Pandas/021 Handling Missing Data - dropna fillna.mp4 | 17.03 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/04 Data analysis with Pandas/022 Grouping data.en.srt | 13.59 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/04 Data analysis with Pandas/022 Grouping data.mp4 | 25.98 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/04 Data analysis with Pandas/023 Read Write .csv .html excel file.en.srt | 7.41 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/04 Data analysis with Pandas/023 Read Write .csv .html excel file.mp4 | 13.64 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/04 Data analysis with Pandas/024 Visualization of data with pandas.en.srt | 9.83 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/04 Data analysis with Pandas/024 Visualization of data with pandas.mp4 | 18.35 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/05 Data Visulization with Matplotlib/025 Introduction.en.srt | 4.06 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/05 Data Visulization with Matplotlib/025 Introduction.mp4 | 6.01 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/05 Data Visulization with Matplotlib/025 MatPlotLib.zip | 55.68 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/05 Data Visulization with Matplotlib/026 Why Visualization.html | 2.50 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/05 Data Visulization with Matplotlib/027 MatplotLib - Basic plotting Plotting terminology.en.srt | 13.04 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/05 Data Visulization with Matplotlib/027 MatplotLib - Basic plotting Plotting terminology.mp4 | 21.46 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/05 Data Visulization with Matplotlib/028 MatplotLib - Subplots.en.srt | 5.84 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/05 Data Visulization with Matplotlib/028 MatplotLib - Subplots.mp4 | 10.55 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/05 Data Visulization with Matplotlib/029 Matplotlib - Special plot.en.srt | 4.79 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/05 Data Visulization with Matplotlib/029 Matplotlib - Special plot.mp4 | 8.83 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/030 Plotly - introduction.en.srt | 3.68 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/030 Plotly - introduction.mp4 | 11.98 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/030 plotly.zip | 6.57 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/031 Basic plotting - plotly.en.srt | 7.82 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/031 Basic plotting - plotly.mp4 | 47.90 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/032 Exercise Extend Basic Plot.html | 1.26 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/033 Plotly scatter and line chart.en.srt | 10.35 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/033 Plotly scatter and line chart.mp4 | 72.68 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/034 Plotly - Bar chart.en.srt | 4.44 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/034 Plotly - Bar chart.mp4 | 21.42 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/035 Exercise Extend Bar Chart.html | 1.24 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/036 Plotly - Bubble chart.en.srt | 3.88 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/036 Plotly - Bubble chart.mp4 | 23.29 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/037 Plotly - Histogram and Distribution plot.en.srt | 11.20 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/037 Plotly - Histogram and Distribution plot.mp4 | 71.41 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/038 Introduction to Tableau and Installation.en.srt | 8.79 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/038 Introduction to Tableau and Installation.mp4 | 38.77 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/039 countries-of-the-world.csv | 37.41 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/039 Load Data in Tableau.en.srt | 6.30 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/039 Load Data in Tableau.mp4 | 35.68 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/040 countries-of-the-world.csv | 37.41 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/040 Insight -1.en.srt | 15.61 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/040 Insight -1.mp4 | 117.71 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/041 Insight - 2.en.srt | 12.39 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/041 Insight - 2.mp4 | 91.68 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/042 Save Tableau Worksheet.en.srt | 3.34 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/042 Save Tableau Worksheet.mp4 | 29.84 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/08 Introduction to Data/043 Introduction to Data Continuous and Discrete Data.en.srt | 11.57 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/08 Introduction to Data/043 Introduction to Data Continuous and Discrete Data.mp4 | 30.65 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/08 Introduction to Data/044 Nominal and Ordinal Data.en.srt | 11.43 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/08 Introduction to Data/044 Nominal and Ordinal Data.mp4 | 35.09 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/045 Importing-Data.zip | 351.29 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/045 Introduction.en.srt | 2.25 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/045 Introduction.mp4 | 3.01 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/046 news.txt | 370.00 B |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/046 Reading Plain text file.en.srt | 6.58 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/046 Reading Plain text file.mp4 | 9.59 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/047 mnist.csv | 15.86 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/047 Reading .csv file.en.srt | 10.38 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/047 Reading .csv file.mp4 | 20.84 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/047 titanic.csv | 788.00 B |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/048 ExcelTest.xlsx | 11.58 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/048 MatlabTest.zip | 243.00 B |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/048 Reading Excel and .m Matlab file.en.srt | 5.38 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/048 Reading Excel and .m Matlab file.mp4 | 10.13 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/049 Read Sqlite Database.en.srt | 5.34 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/049 Read Sqlite Database.mp4 | 11.81 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/049 SqliteTestDb.zip | 327.06 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/050 Fetch Data from Remote file.en.srt | 9.14 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/050 Fetch Data from Remote file.mp4 | 21.43 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/051 Fetch Data from Facebook API.en.srt | 11.76 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/09 Importing Data in python/051 Fetch Data from Facebook API.mp4 | 25.32 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/10 Data Preprocessing/052 Data-Preprocesing.zip | 10.50 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/10 Data Preprocessing/052 Introduction.en.srt | 2.86 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/10 Data Preprocessing/052 Introduction.mp4 | 4.53 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/10 Data Preprocessing/053 Data.csv | 315.00 B |
| Data Science & Machine Learning - Hands on Data Science 2020/10 Data Preprocessing/053 Reading Data.en.srt | 6.70 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/10 Data Preprocessing/053 Reading Data.mp4 | 13.39 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/10 Data Preprocessing/054 Handling Missing Data.en.srt | 11.43 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/10 Data Preprocessing/054 Handling Missing Data.mp4 | 21.37 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/10 Data Preprocessing/055 Categorical Data.en.srt | 13.91 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/10 Data Preprocessing/055 Categorical Data.mp4 | 28.07 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/10 Data Preprocessing/056 Splitting Data in Training and Testing Set.en.srt | 4.48 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/10 Data Preprocessing/056 Splitting Data in Training and Testing Set.mp4 | 7.27 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/10 Data Preprocessing/057 Normalize Data.en.srt | 10.00 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/10 Data Preprocessing/057 Normalize Data.mp4 | 16.69 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/11 Web Scraping/058 Introduction - Web Scraping.en.srt | 2.92 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/11 Web Scraping/058 Introduction - Web Scraping.mp4 | 3.73 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/11 Web Scraping/058 Web-Scraping.zip | 1.66 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/11 Web Scraping/059 What is Web Scraping.en.srt | 9.42 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/11 Web Scraping/059 What is Web Scraping.mp4 | 16.16 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/11 Web Scraping/060 Web Scraping Process.en.srt | 7.77 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/11 Web Scraping/060 Web Scraping Process.mp4 | 17.02 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/11 Web Scraping/061 Search Element by TagName and TagByClass.en.srt | 12.39 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/11 Web Scraping/061 Search Element by TagName and TagByClass.mp4 | 25.28 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/11 Web Scraping/062 How to use developer tools in browser.en.srt | 12.71 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/11 Web Scraping/062 How to use developer tools in browser.mp4 | 113.61 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/11 Web Scraping/063 Practical Activity.html | 1.83 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/12 Exploratory Data analysis/064 EDA of pima indian diabetes dataset.en.srt | 15.56 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/12 Exploratory Data analysis/064 EDA of pima indian diabetes dataset.mp4 | 28.05 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/12 Exploratory Data analysis/065 Visualize pima indian diabetes dataset.en.srt | 12.70 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/12 Exploratory Data analysis/065 Visualize pima indian diabetes dataset.mp4 | 21.34 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/13 Data transformation and Scaling Data/066 Introduction.en.srt | 4.13 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/13 Data transformation and Scaling Data/066 Introduction.mp4 | 6.28 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/13 Data transformation and Scaling Data/067 Rescale data - Standardize data.en.srt | 9.93 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/13 Data transformation and Scaling Data/067 Rescale data - Standardize data.mp4 | 20.66 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/13 Data transformation and Scaling Data/068 Normalize Data - Binarize Data.en.srt | 8.38 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/13 Data transformation and Scaling Data/068 Normalize Data - Binarize Data.mp4 | 14.12 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/13 Data transformation and Scaling Data/069 Practical Activity.html | 1.86 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/070 towards-ML.zip | 4.88 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/070 What is Machine Learning - In Layman term.en.srt | 4.74 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/070 What is Machine Learning - In Layman term.mp4 | 6.08 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/071 Traditional system of computing vs Machine Learning.en.srt | 6.19 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/071 Traditional system of computing vs Machine Learning.mp4 | 7.57 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/072 Formal Definition of Machine Learning.en.srt | 8.76 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/072 Formal Definition of Machine Learning.mp4 | 48.71 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/073 How Machine Learning system works.en.srt | 6.16 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/073 How Machine Learning system works.mp4 | 8.63 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/074 Different Types of Machine Learning system- Supervised vs Unsupervised learning.en.srt | 7.35 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/074 Different Types of Machine Learning system- Supervised vs Unsupervised learning.mp4 | 9.56 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/075 Parametric vs Non-parametric machine learning system.en.srt | 9.23 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/075 Parametric vs Non-parametric machine learning system.mp4 | 11.73 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/076 Machine Learning system design and Scikit learn.en.srt | 10.70 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/076 Machine Learning system design and Scikit learn.mp4 | 30.46 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/077 Machine Learning application.en.srt | 7.63 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/077 Machine Learning application.mp4 | 21.44 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/078 Ask yourself to learn any machine learning algorithm.en.srt | 6.44 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/14 Moving towards Machine Learning/078 Ask yourself to learn any machine learning algorithm.mp4 | 16.45 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/15 Feature selection for Machine Learning/079 Introduction to feature selection.en.srt | 6.15 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/15 Feature selection for Machine Learning/079 Introduction to feature selection.mp4 | 8.23 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/15 Feature selection for Machine Learning/080 Univariate feature selection.en.srt | 8.81 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/15 Feature selection for Machine Learning/080 Univariate feature selection.mp4 | 16.87 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/15 Feature selection for Machine Learning/081 Recursive feature elimination.en.srt | 7.87 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/15 Feature selection for Machine Learning/081 Recursive feature elimination.mp4 | 12.21 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/15 Feature selection for Machine Learning/082 Principal component analysis.en.srt | 8.69 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/15 Feature selection for Machine Learning/082 Principal component analysis.mp4 | 19.04 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/15 Feature selection for Machine Learning/083 Remove feature with low variance.en.srt | 6.78 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/15 Feature selection for Machine Learning/083 Remove feature with low variance.mp4 | 10.02 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/15 Feature selection for Machine Learning/084 Tree based method for feature selection.en.srt | 7.03 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/15 Feature selection for Machine Learning/084 Tree based method for feature selection.mp4 | 12.96 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/16 K nearest neighbour/085 Section introduction.en.srt | 2.72 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/16 K nearest neighbour/085 Section introduction.mp4 | 9.91 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/16 K nearest neighbour/086 KNN algorithm - Intitution.en.srt | 9.51 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/16 K nearest neighbour/086 KNN algorithm - Intitution.mp4 | 52.53 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/16 K nearest neighbour/087 Choose K and distance metric.en.srt | 7.12 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/16 K nearest neighbour/087 Choose K and distance metric.mp4 | 25.09 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/16 K nearest neighbour/088 About KNN algorithm.en.srt | 3.54 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/16 K nearest neighbour/088 About KNN algorithm.mp4 | 9.55 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/16 K nearest neighbour/089 Implement KNN from scratch.html | 888.00 B |
| Data Science & Machine Learning - Hands on Data Science 2020/16 K nearest neighbour/089 KNN.zip | 338.85 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/17 Linear Regression/090 Introduction.en.srt | 8.18 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/17 Linear Regression/090 Introduction.mp4 | 19.54 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/17 Linear Regression/091 Python Implementation - Step 1.en.srt | 14.16 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/17 Linear Regression/091 Python Implementation - Step 1.mp4 | 99.45 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/17 Linear Regression/092 Python Implementation - Step 2.en.srt | 14.92 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/17 Linear Regression/092 Python Implementation - Step 2.mp4 | 71.84 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/17 Linear Regression/093 Python Implementation - Step 3.en.srt | 8.23 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/17 Linear Regression/093 Python Implementation - Step 3.mp4 | 49.38 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/18 Logistic Regression/094 Introduction.en.srt | 8.04 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/18 Logistic Regression/094 Introduction.mp4 | 21.43 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/18 Logistic Regression/095 Python Implementation - Step 1.en.srt | 12.25 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/18 Logistic Regression/095 Python Implementation - Step 1.mp4 | 97.78 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/18 Logistic Regression/096 Python Implementation - Step 2.en.srt | 9.83 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/18 Logistic Regression/096 Python Implementation - Step 2.mp4 | 61.03 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/097 Introduction.html | 1.21 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/098 What is Apache Spark.en.srt | 9.61 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/098 What is Apache Spark.mp4 | 49.71 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/099 Introduction to Installation.en.srt | 2.12 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/099 Introduction to Installation.mp4 | 15.72 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/100 Installation Part - 1 and 2.en.srt | 12.04 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/100 Installation Part - 1 and 2.mp4 | 93.90 MB |
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| Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/101 Installation Part - 3 and 4.mp4 | 88.05 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/102 Installation Instruction Windows.html | 2.90 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/103 Spark Session.en.srt | 3.48 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/103 Spark Session.mp4 | 19.87 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/104 Import JSON data into Dataframe.en.srt | 5.65 kB |
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| Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/104 student.json | 85.00 B |
| Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/105 What next.html | 1.19 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/106 Create Python virtual environment -1.en.srt | 4.30 kB |
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| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/107 Create Python virtual environment -2.en.srt | 16.16 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/107 Create Python virtual environment -2.mp4 | 146.10 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/108 Conda Command - I.en.srt | 9.66 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/108 Conda Command - I.mp4 | 48.11 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/109 Conda Command - II.en.srt | 6.81 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/109 Conda Command - II.mp4 | 32.63 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/110 Python Numbers Math operators.en.srt | 10.05 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/110 Python Numbers Math operators.mp4 | 42.73 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/111 Python Variables and Datatypes.en.srt | 19.46 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/111 Python Variables and Datatypes.mp4 | 73.80 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/112 Python Dynamic Typing in Python.en.srt | 3.28 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/112 Python Dynamic Typing in Python.mp4 | 13.47 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/113 Python String.en.srt | 12.40 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/113 Python String.mp4 | 49.87 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/114 Python Boolean variable and conditional logic.en.srt | 8.59 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/114 Python Boolean variable and conditional logic.mp4 | 33.36 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/115 Python Looping in Python.en.srt | 14.55 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/115 Python Looping in Python.mp4 | 56.93 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/21 Data Science in Cloud/116 Data Science in Cloud -1.en.srt | 8.20 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/21 Data Science in Cloud/116 Data Science in Cloud -1.mp4 | 54.22 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/21 Data Science in Cloud/117 Data Science in Cloud - 2 (Microsoft Azure).en.srt | 23.67 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/21 Data Science in Cloud/117 Data Science in Cloud - 2 (Microsoft Azure).mp4 | 190.36 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/21 Data Science in Cloud/118 Install tensorflow Keras and NLTK on Azure VM.en.srt | 5.23 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/21 Data Science in Cloud/118 Install tensorflow Keras and NLTK on Azure VM.mp4 | 41.77 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/22 Data Science from 30000 Ft/119 Data Science as Interdisciplinary field.en.srt | 7.20 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/22 Data Science from 30000 Ft/119 Data Science as Interdisciplinary field.mp4 | 25.70 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/22 Data Science from 30000 Ft/120 Statistics Probability.en.srt | 10.22 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/22 Data Science from 30000 Ft/120 Statistics Probability.mp4 | 25.71 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/22 Data Science from 30000 Ft/121 Mathematics.en.srt | 8.70 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/22 Data Science from 30000 Ft/121 Mathematics.mp4 | 40.42 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/22 Data Science from 30000 Ft/122 Visualization.en.srt | 8.08 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/22 Data Science from 30000 Ft/122 Visualization.mp4 | 27.03 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/22 Data Science from 30000 Ft/123 Database and Computer Science.en.srt | 10.42 kB |
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| Data Science & Machine Learning - Hands on Data Science 2020/22 Data Science from 30000 Ft/124 Big data Technology.en.srt | 8.01 kB |
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| Data Science & Machine Learning - Hands on Data Science 2020/22 Data Science from 30000 Ft/125 Machine Learning.en.srt | 10.42 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/22 Data Science from 30000 Ft/125 Machine Learning.mp4 | 32.89 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/22 Data Science from 30000 Ft/126 Deep Learning.en.srt | 9.72 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/22 Data Science from 30000 Ft/126 Deep Learning.mp4 | 46.21 MB |
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| Data Science & Machine Learning - Hands on Data Science 2020/22 Data Science from 30000 Ft/127 Natural language Processing.mp4 | 30.00 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/23 Prerequisite for Machine Learning and Data Science/128 Welcome to Mathematics Prerequisite.html | 1.34 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/24 -------- Probability --------/129 Permutations.en.srt | 13.35 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/24 -------- Probability --------/129 Permutations.mp4 | 45.72 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/24 -------- Probability --------/130 Permutations Exercise.en.srt | 5.50 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/24 -------- Probability --------/130 Permutations Exercise.mp4 | 18.52 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/24 -------- Probability --------/131 Combinations.en.srt | 5.65 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/24 -------- Probability --------/131 Combinations.mp4 | 15.69 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/24 -------- Probability --------/132 Introduction to Probability.en.srt | 6.56 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/24 -------- Probability --------/132 Introduction to Probability.mp4 | 25.55 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/24 -------- Probability --------/133 Union Intersection of complement of event.en.srt | 12.61 kB |
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| Data Science & Machine Learning - Hands on Data Science 2020/24 -------- Probability --------/134 Independent and dependent event.en.srt | 8.38 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/24 -------- Probability --------/134 Independent and dependent event.mp4 | 31.85 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/25 -------- Probability Puzzles --------/135 Probability interview question - 1.html | 1.06 kB |
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| Data Science & Machine Learning - Hands on Data Science 2020/26 -------- Statistics --------/145 Measure of central tendency.en.srt | 6.71 kB |
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| Data Science & Machine Learning - Hands on Data Science 2020/26 -------- Statistics --------/146 Mean vs Median.en.srt | 2.82 kB |
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| Data Science & Machine Learning - Hands on Data Science 2020/26 -------- Statistics --------/147 Measure of Dispersion.en.srt | 7.71 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/26 -------- Statistics --------/147 Measure of Dispersion.mp4 | 26.17 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/26 -------- Statistics --------/148 Quartiles and Interquartile range.en.srt | 9.65 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/26 -------- Statistics --------/148 Quartiles and Interquartile range.mp4 | 36.11 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/26 -------- Statistics --------/149 Correlation vs Causality.en.srt | 6.25 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/26 -------- Statistics --------/149 Correlation vs Causality.mp4 | 16.27 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/26 -------- Statistics --------/150 Co-variance and Pearson correlation.en.srt | 6.44 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/26 -------- Statistics --------/150 Co-variance and Pearson correlation.mp4 | 24.04 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/26 -------- Statistics --------/151 Measure Statistical Parameter with Microsoft Excel.en.srt | 9.31 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/26 -------- Statistics --------/151 Measure Statistical Parameter with Microsoft Excel.mp4 | 72.55 MB |
| Data Science & Machine Learning - Hands on Data Science 2020/26 -------- Statistics --------/151 Measure-Statistics-with-Excel.xlsx | 14.03 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/27 Bonus Special Offer/152 Discount for other courses.html | 1.18 kB |
| Data Science & Machine Learning - Hands on Data Science 2020/ReadMe.txt | 220.00 B |
| Data Science & Machine Learning - Hands on Data Science 2020/Visit Coursedrive.org.url | 124.00 B |
| ReadMe.txt | 220.00 B |
| Visit Coursedrive.org.url | 124.00 B |
Data Science & Machine Learning : Hands on Data Science 2020
Numpy, Pandas, Matplotlib, Scikit-Learn, WebScraping, Data Science, Machine Learning, Pyspark, statistics, Data Science
What you'll learn
• You will Learn one of the most in demand skill of 21st century Data Science
• Add Data science skills : python, numpy, pandas, plotly, tableau, machine learning, statistics, probability in your resume
• Apply linear regression and logistics regression on real dataset.
• Crash course on python
• Apply matrix operation with Numpy - Numerical python library
• Visualize your data with mother of all visualisation library available in Python : MatplotLIb
• Perform Data analysis, wrangling and cleaning with pandas library
• Get hands on with interactive visualisation library Plotly
• Getting start with data visualization tool, Tableau
• Data Pre-processing technique - Missing data, Normalization, one hot encoding,
• Importing data in Python from different sources, Files
• Web Scraping to download web page and extract data
• Data scaling and transformation
• Exploratory Data analysis
• Feature engineering process in Machine Learning system design
• Machine learning theory
• Apache spark installation : pyspark
• Getting started with spark session
• Mathey required for machine learning : Statistics, probability
• Setup Data Science Virtual machine on Microsoft Azure Cloud
Requirements
• Basic of Python programming
• High school mathematics
Description
Welcome to Complete Ultimate course guide on Data Science and Machine learning with Python.
Have you ever thought about
How amazon gives you product recommendation,
How Netflix and YouTube decides which movie or video you should watch next,
Google translate translate one language to another,
How Google knows what is there in your photo,
How Android speech Recognition or Apple siri understand your speech signal with such high accuracy.
If you would like algorithm or technology running behind that, This is first course to get started in this direction.
==============================================
This course has more than 100 - 5 star rating.
What previous students have said:
"This is a truly great course! It covers far more than it's written in its name: many data science libraries, frameworks, techniques, tips, starting from basics to advanced level topics. Thanks a lot! "
"This course has taught me many things I wanted to know about pandas. It covers everything since the installation steps, so it is very good for anyone willing to learn about data analysis in python /jupyter environment."
"learning valuable concepts and feeling great.Thanks for this course."
"Good explanation, I have laready used two online tutorials on data -science and this one is more step by step, but it is good"
"i have studied python from other sources as well but here i found it more basic and easy to grab especially for the beginners. I can say its best course till now . it can be improved by including some more examples and real life data but overall i would suggest every beginner to have this course."
"The instructor is so good, he helps you in all doubts within an average replying time of one hour. The content of the course and the way he delivers is great."
==================================================
Why Data Science Now?
Data Scientist: The Sexiest Job of the 21st Century - By Harvard Business review
There is huge sortage of data scientist currently software industry is facing.
The average data scientist today earns $130,000 a year by glassdoor.
Want to join me for your journey towards becoming Data Scientist, Machine Learning Engineer.
This course has more than 100+ HD - quality video lectures and is over 13+ hours in content.
This is first introductory course to get started data analysis, Machine learning and towards AI algorithm implementation
This course will teach you - All Basic python library required for data analysis process.
• Python crash course
• Numerical Python - Numpy
• Pandas - data analysis
• Matplotlib for data visualization
• Plotly and Business intelligence tool Tableau
• Importing Data in Python from different sources like .csv, .tsv, .json, .html, web rest Facebook API
• Data Pre-Processing like normalization, train test split, Handling missing data
• Web Scraping with python BeautifulSoup - extract value from structured HTML Data
• Exploratory data analysis on pima Indian diabetes dataset
• Visualization of Pima Indian diabetes dataset
• Data transformation and Scaling Data - Rescale Data, Standardize Data, Binarize Data, normalise data
• Basic introduction to What is Machine Learning, and Scikit learn overview Its type, and comparison with traditional system. Supervised learning vs Unsupervised Learning
• Understanding of regression, classification and clustering
• Feature selection and feature elimination technique.
• And Many Machine learning algorithm yet to come.
• Data Science Prerequisite : Basics of Probability and statistics
• Setup Data Science and Machine learning lab in Microsoft Azure Cloud
This course is for beginner and some experienced programmer who want to make career in Data Science and Machine learning, AI.
Prerequisite:
• basic knowledge in python programming (will be covered in python )
• High School mathematics
Enroll in this course, take look at brief curriculum of this course and take first step in wonderful world of Data.
See you in field.
Sincerely,
Ankit Mistry
Who this course is for:
• Anyone who is interested in DataScience
• Anyone who wants to learn - How to analyze data
• Those who want to make a career in Data Analytics, Machine learning, DataScience
Numpy, Pandas, Matplotlib, Scikit-Learn, WebScraping, Data Science, Machine Learning, Pyspark, statistics, Data Science
What you'll learn
• You will Learn one of the most in demand skill of 21st century Data Science
• Add Data science skills : python, numpy, pandas, plotly, tableau, machine learning, statistics, probability in your resume
• Apply linear regression and logistics regression on real dataset.
• Crash course on python
• Apply matrix operation with Numpy - Numerical python library
• Visualize your data with mother of all visualisation library available in Python : MatplotLIb
• Perform Data analysis, wrangling and cleaning with pandas library
• Get hands on with interactive visualisation library Plotly
• Getting start with data visualization tool, Tableau
• Data Pre-processing technique - Missing data, Normalization, one hot encoding,
• Importing data in Python from different sources, Files
• Web Scraping to download web page and extract data
• Data scaling and transformation
• Exploratory Data analysis
• Feature engineering process in Machine Learning system design
• Machine learning theory
• Apache spark installation : pyspark
• Getting started with spark session
• Mathey required for machine learning : Statistics, probability
• Setup Data Science Virtual machine on Microsoft Azure Cloud
Requirements
• Basic of Python programming
• High school mathematics
Description
Welcome to Complete Ultimate course guide on Data Science and Machine learning with Python.
Have you ever thought about
How amazon gives you product recommendation,
How Netflix and YouTube decides which movie or video you should watch next,
Google translate translate one language to another,
How Google knows what is there in your photo,
How Android speech Recognition or Apple siri understand your speech signal with such high accuracy.
If you would like algorithm or technology running behind that, This is first course to get started in this direction.
==============================================
This course has more than 100 - 5 star rating.
What previous students have said:
"This is a truly great course! It covers far more than it's written in its name: many data science libraries, frameworks, techniques, tips, starting from basics to advanced level topics. Thanks a lot! "
"This course has taught me many things I wanted to know about pandas. It covers everything since the installation steps, so it is very good for anyone willing to learn about data analysis in python /jupyter environment."
"learning valuable concepts and feeling great.Thanks for this course."
"Good explanation, I have laready used two online tutorials on data -science and this one is more step by step, but it is good"
"i have studied python from other sources as well but here i found it more basic and easy to grab especially for the beginners. I can say its best course till now . it can be improved by including some more examples and real life data but overall i would suggest every beginner to have this course."
"The instructor is so good, he helps you in all doubts within an average replying time of one hour. The content of the course and the way he delivers is great."
==================================================
Why Data Science Now?
Data Scientist: The Sexiest Job of the 21st Century - By Harvard Business review
There is huge sortage of data scientist currently software industry is facing.
The average data scientist today earns $130,000 a year by glassdoor.
Want to join me for your journey towards becoming Data Scientist, Machine Learning Engineer.
This course has more than 100+ HD - quality video lectures and is over 13+ hours in content.
This is first introductory course to get started data analysis, Machine learning and towards AI algorithm implementation
This course will teach you - All Basic python library required for data analysis process.
• Python crash course
• Numerical Python - Numpy
• Pandas - data analysis
• Matplotlib for data visualization
• Plotly and Business intelligence tool Tableau
• Importing Data in Python from different sources like .csv, .tsv, .json, .html, web rest Facebook API
• Data Pre-Processing like normalization, train test split, Handling missing data
• Web Scraping with python BeautifulSoup - extract value from structured HTML Data
• Exploratory data analysis on pima Indian diabetes dataset
• Visualization of Pima Indian diabetes dataset
• Data transformation and Scaling Data - Rescale Data, Standardize Data, Binarize Data, normalise data
• Basic introduction to What is Machine Learning, and Scikit learn overview Its type, and comparison with traditional system. Supervised learning vs Unsupervised Learning
• Understanding of regression, classification and clustering
• Feature selection and feature elimination technique.
• And Many Machine learning algorithm yet to come.
• Data Science Prerequisite : Basics of Probability and statistics
• Setup Data Science and Machine learning lab in Microsoft Azure Cloud
This course is for beginner and some experienced programmer who want to make career in Data Science and Machine learning, AI.
Prerequisite:
• basic knowledge in python programming (will be covered in python )
• High School mathematics
Enroll in this course, take look at brief curriculum of this course and take first step in wonderful world of Data.
See you in field.
Sincerely,
Ankit Mistry
Who this course is for:
• Anyone who is interested in DataScience
• Anyone who wants to learn - How to analyze data
• Those who want to make a career in Data Analytics, Machine learning, DataScience