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[UdemyCourseDownloader] Python for Data Science and Machine Learning Bootcamp

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3.63 GB

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kirat1h

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23-11-2018 17:53

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File	Size
1. Course Introduction/1. Introduction to the Course.mp4	29.04 MB
1. Course Introduction/1. Introduction to the Course.vtt	5.35 kB
1. Course Introduction/2. Course Help and Welcome.mp4	8.25 MB
1. Course Introduction/2. Course Help and Welcome.vtt	1.05 kB
1. Course Introduction/3. Course FAQs.html	5.34 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/00-Welcome to the Course.ipynb	1,015.00 B
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/01-Python-Crash-Course/01-Python Crash Course.ipynb	32.38 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/01-Python-Crash-Course/02-Python Crash Course Exercises.ipynb	9.21 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/01-Python-Crash-Course/03-Python Crash Course Exercises - Solutions.ipynb	10.12 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/02-Python-for-Data-Analysis-NumPy/01-NumPy Arrays.ipynb	19.51 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/02-Python-for-Data-Analysis-NumPy/02-Numpy Indexing and Selection.ipynb	14.43 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/02-Python-for-Data-Analysis-NumPy/03-Numpy Operations.ipynb	7.26 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/02-Python-for-Data-Analysis-NumPy/04-Numpy Exercises.ipynb	13.71 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/02-Python-for-Data-Analysis-NumPy/05-Numpy Exercises - Solutions.ipynb	14.22 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/03-Python-for-Data-Analysis-Pandas/01-Introduction to Pandas.ipynb	1.33 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/03-Python-for-Data-Analysis-Pandas/02-Series.ipynb	8.59 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/03-Python-for-Data-Analysis-Pandas/03-DataFrames.ipynb	58.05 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/03-Python-for-Data-Analysis-Pandas/04-Missing Data.ipynb	7.52 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/03-Python-for-Data-Analysis-Pandas/05-Groupby.ipynb	21.52 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/03-Python-for-Data-Analysis-Pandas/06-Merging, Joining, and Concatenating.ipynb	37.51 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/03-Python-for-Data-Analysis-Pandas/07-Operations.ipynb	22.36 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/03-Python-for-Data-Analysis-Pandas/08-Data Input and Output.ipynb	54.51 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/03-Python-for-Data-Analysis-Pandas/example	46.00 B
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/03-Python-for-Data-Analysis-Pandas/Excel_Sample.xlsx	5.38 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/03-Python-for-Data-Analysis-Pandas/multi_index_example	560.00 B
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/04-Pandas-Exercises/01-SF Salaries Exercise.ipynb	18.94 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/04-Pandas-Exercises/02-SF Salaries Exercise - Solutions.ipynb	20.23 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/04-Pandas-Exercises/03-Ecommerce Purchases Exercise .ipynb	18.27 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/04-Pandas-Exercises/04-Ecommerce Purchases Exercise - Solutions.ipynb	19.05 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/04-Pandas-Exercises/Ecommerce Purchases	2.62 MB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/04-Pandas-Exercises/Salaries.csv	15.49 MB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/05-Data-Visualization-with-Matplotlib/01-Matplotlib Concepts Lecture.ipynb	282.73 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/05-Data-Visualization-with-Matplotlib/02-Matplotlib Exercises.ipynb	117.07 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/05-Data-Visualization-with-Matplotlib/03-Matplotlib Exercises - Solutions.ipynb	99.80 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/05-Data-Visualization-with-Matplotlib/04-Advanced Matplotlib Concepts.ipynb	835.37 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/06-Data-Visualization-with-Seaborn/01-Distribution Plots.ipynb	316.08 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/06-Data-Visualization-with-Seaborn/02-Categorical Plots.ipynb	351.51 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/06-Data-Visualization-with-Seaborn/03-Matrix Plots.ipynb	106.89 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/06-Data-Visualization-with-Seaborn/04-Grids.ipynb	587.77 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/06-Data-Visualization-with-Seaborn/05-Regression Plots.ipynb	397.61 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/06-Data-Visualization-with-Seaborn/06-Style and Color.ipynb	121.91 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/06-Data-Visualization-with-Seaborn/07-Seaborn Exercises.ipynb	144.67 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/06-Data-Visualization-with-Seaborn/08-Seaborn Exercises - Solutions.ipynb	145.16 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/07-Pandas-Built-in-Data-Viz/01-Pandas Built-in Data Visualization.ipynb	494.56 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/07-Pandas-Built-in-Data-Viz/02-Pandas Data Visualization Exercise.ipynb	207.96 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/07-Pandas-Built-in-Data-Viz/03-Pandas Data Visualization Exercise - Solutions.ipynb	208.46 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/07-Pandas-Built-in-Data-Viz/df1	87.45 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/07-Pandas-Built-in-Data-Viz/df2	779.00 B
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/07-Pandas-Built-in-Data-Viz/df3	37.61 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/08-Plotly-and-Cufflinks/01-Plotly and Cufflinks.ipynb	1.76 MB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/09-Geographical-Plotting/01-Choropleth Maps.ipynb	31.18 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/09-Geographical-Plotting/02-Choropleth Maps Exercise.ipynb	12.73 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/09-Geographical-Plotting/03-Choropleth Maps Exercise - Solutions.ipynb	15.36 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/09-Geographical-Plotting/2011_US_AGRI_Exports	8.98 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/09-Geographical-Plotting/2012_Election_Data	6.13 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/09-Geographical-Plotting/2014_World_GDP	4.33 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/09-Geographical-Plotting/2014_World_Power_Consumption	9.57 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/09-Geographical-Plotting/plotly_cheat_sheet.pdf	2.79 MB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/10-Data-Capstone-Projects/.ipynb_checkpoints/03-Finance Project-checkpoint.ipynb	2.56 MB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/10-Data-Capstone-Projects/.ipynb_checkpoints/04-Finance Project - Solutions-checkpoint.ipynb	2.58 MB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/10-Data-Capstone-Projects/01-911 Calls Data Capstone Project.ipynb	310.85 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/10-Data-Capstone-Projects/02-911 Calls Data Capstone Project - Solutions.ipynb	312.87 kB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/10-Data-Capstone-Projects/03-Finance Project.ipynb	2.56 MB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/10-Data-Capstone-Projects/04-Finance Project - Solutions.ipynb	2.58 MB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/10-Data-Capstone-Projects/911.csv	17.53 MB
1. Course Introduction/Refactored_Py_DS_ML_Bootcamp-master/10-Data-Capstone-Projects/precipitation.html	1.50 MB
10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.mp4	31.35 MB
10. Python for Data Visualization - Pandas Built-in Data Visualization/1. Pandas Built-in Data Visualization.vtt	18.59 kB
10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.mp4	5.16 MB
10. Python for Data Visualization - Pandas Built-in Data Visualization/2. Pandas Data Visualization Exercise.vtt	2.04 kB
10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.mp4	28.60 MB
10. Python for Data Visualization - Pandas Built-in Data Visualization/3. Pandas Data Visualization Exercise- Solutions.vtt	11.91 kB
11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.mp4	12.51 MB
11. Python for Data Visualization - Plotly and Cufflinks/1. Introduction to Plotly and Cufflinks.vtt	4.93 kB
11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4	51.15 MB
11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.vtt	24.69 kB
12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.mp4	1.94 MB
12. Python for Data Visualization - Geographical Plotting/1. Introduction to Geographical Plotting.vtt	1.25 kB
12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.mp4	46.15 MB
12. Python for Data Visualization - Geographical Plotting/2. Choropleth Maps - Part 1 - USA.vtt	23.47 kB
12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.mp4	19.19 MB
12. Python for Data Visualization - Geographical Plotting/3. Choropleth Maps - Part 2 - World.vtt	7.98 kB
12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.mp4	11.15 MB
12. Python for Data Visualization - Geographical Plotting/4. Choropleth Exercises.vtt	5.17 kB
12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.mp4	27.63 MB
12. Python for Data Visualization - Geographical Plotting/5. Choropleth Exercises - Solutions.vtt	12.38 kB
13. Data Capstone Project/1. Welcome to the Data Capstone Projects!.mp4	3.98 MB
13. Data Capstone Project/1. Welcome to the Data Capstone Projects!.vtt	562.00 B
13. Data Capstone Project/2. 911 Calls Project Overview.mp4	8.57 MB
13. Data Capstone Project/2. 911 Calls Project Overview.vtt	3.30 kB
13. Data Capstone Project/3. 911 Calls Solutions - Part 1.mp4	39.79 MB
13. Data Capstone Project/3. 911 Calls Solutions - Part 1.vtt	18.58 kB
13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4	49.79 MB
13. Data Capstone Project/4. 911 Calls Solutions - Part 2.vtt	23.64 kB
13. Data Capstone Project/5. Bank Data.html	363.00 B
13. Data Capstone Project/5.1 Download all_banks pickle file from this link.html	117.00 B
13. Data Capstone Project/6. Finance Data Project Overview.mp4	12.22 MB
13. Data Capstone Project/6. Finance Data Project Overview.vtt	4.88 kB
13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4	47.27 MB
13. Data Capstone Project/7. Finance Project - Solutions Part 1.vtt	21.74 kB
13. Data Capstone Project/8. Finance Project - Solutions Part 2.mp4	45.72 MB
13. Data Capstone Project/8. Finance Project - Solutions Part 2.vtt	22.66 kB
13. Data Capstone Project/9. Finance Project - Solutions Part 3.mp4	16.56 MB
13. Data Capstone Project/9. Finance Project - Solutions Part 3.vtt	7.96 kB
14. Introduction to Machine Learning/1. Welcome to the Machine Learning Section!.mp4	7.20 MB
14. Introduction to Machine Learning/1. Welcome to the Machine Learning Section!.vtt	909.00 B
14. Introduction to Machine Learning/2. Link for ISLR.html	406.00 B
14. Introduction to Machine Learning/2.1 ISLR 6th Edition PDF (Machine Learning Textbook).html	123.00 B
14. Introduction to Machine Learning/2.2 Python DS Presentations.zip.zip	2.79 MB
14. Introduction to Machine Learning/3. Introduction to Machine Learning.mp4	28.93 MB
14. Introduction to Machine Learning/3. Introduction to Machine Learning.vtt	15.42 kB
14. Introduction to Machine Learning/3.1 Link for ISLR.html	123.00 B
14. Introduction to Machine Learning/4. Machine Learning with Python.mp4	16.79 MB
14. Introduction to Machine Learning/4. Machine Learning with Python.vtt	12.74 kB
15. Linear Regression/1. Linear Regression Theory.mp4	8.56 MB
15. Linear Regression/1. Linear Regression Theory.vtt	5.99 kB
15. Linear Regression/2. model_selection Updates for SciKit Learn 0.18.html	845.00 B
15. Linear Regression/3. Linear Regression with Python - Part 1.mp4	43.31 MB
15. Linear Regression/3. Linear Regression with Python - Part 1.vtt	23.32 kB
15. Linear Regression/4. Linear Regression with Python - Part 2.mp4	16.05 MB
15. Linear Regression/4. Linear Regression with Python - Part 2.vtt	9.09 kB
15. Linear Regression/5. Linear Regression Project Overview.mp4	10.79 MB
15. Linear Regression/5. Linear Regression Project Overview.vtt	3.60 kB
15. Linear Regression/6. Linear Regression Project Solution.mp4	45.39 MB
15. Linear Regression/6. Linear Regression Project Solution.vtt	23.38 kB
16. Cross Validation and Bias-Variance Trade-Off/1. Bias Variance Trade-Off.mp4	11.60 MB
16. Cross Validation and Bias-Variance Trade-Off/1. Bias Variance Trade-Off.vtt	8.76 kB
17. Logistic Regression/1. Logistic Regression Theory.mp4	21.02 MB
17. Logistic Regression/1. Logistic Regression Theory.vtt	15.45 kB
17. Logistic Regression/2. Logistic Regression with Python - Part 1.mp4	41.41 MB
17. Logistic Regression/2. Logistic Regression with Python - Part 1.vtt	23.42 kB
17. Logistic Regression/3. Logistic Regression with Python - Part 2.mp4	34.21 MB
17. Logistic Regression/3. Logistic Regression with Python - Part 2.vtt	21.32 kB
17. Logistic Regression/4. Logistic Regression with Python - Part 3.mp4	16.95 MB
17. Logistic Regression/4. Logistic Regression with Python - Part 3.vtt	10.54 kB
17. Logistic Regression/5. Logistic Regression Project Overview.mp4	5.32 MB
17. Logistic Regression/5. Logistic Regression Project Overview.vtt	2.35 kB
17. Logistic Regression/6. Logistic Regression Project Solutions.mp4	30.20 MB
17. Logistic Regression/6. Logistic Regression Project Solutions.vtt	13.18 kB
18. K Nearest Neighbors/1. KNN Theory.mp4	9.91 MB
18. K Nearest Neighbors/1. KNN Theory.vtt	7.23 kB
18. K Nearest Neighbors/2. KNN with Python.mp4	45.96 MB
18. K Nearest Neighbors/2. KNN with Python.vtt	23.85 kB
18. K Nearest Neighbors/3. KNN Project Overview.mp4	4.98 MB
18. K Nearest Neighbors/3. KNN Project Overview.vtt	1.97 kB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4	52.66 MB
18. K Nearest Neighbors/4. KNN Project Solutions.vtt	17.23 kB
19. Decision Trees and Random Forests/1. Introduction to Tree Methods.mp4	12.06 MB
19. Decision Trees and Random Forests/1. Introduction to Tree Methods.vtt	8.92 kB
19. Decision Trees and Random Forests/2. Decision Trees and Random Forest with Python.mp4	40.10 MB
19. Decision Trees and Random Forests/2. Decision Trees and Random Forest with Python.vtt	18.04 kB
19. Decision Trees and Random Forests/3. Decision Trees and Random Forest Project Overview.mp4	11.96 MB
19. Decision Trees and Random Forests/3. Decision Trees and Random Forest Project Overview.vtt	4.50 kB
19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.mp4	30.86 MB
19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.vtt	15.26 kB
19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.mp4	26.57 MB
19. Decision Trees and Random Forests/5. Decision Trees and Random Forest Solutions Part 2.vtt	10.88 kB
2. Environment Set-Up/1. Environment Set-up and Installation.mp4	22.30 MB
2. Environment Set-Up/1. Environment Set-up and Installation.vtt	13.25 kB
20. Support Vector Machines/1. SVM Theory.mp4	8.73 MB
20. Support Vector Machines/1. SVM Theory.vtt	5.95 kB
20. Support Vector Machines/2. Support Vector Machines with Python.mp4	47.45 MB
20. Support Vector Machines/2. Support Vector Machines with Python.vtt	22.20 kB
20. Support Vector Machines/3. SVM Project Overview.mp4	8.59 MB
20. Support Vector Machines/3. SVM Project Overview.vtt	3.42 kB
20. Support Vector Machines/4. SVM Project Solutions.mp4	28.13 MB
20. Support Vector Machines/4. SVM Project Solutions.vtt	11.82 kB
21. K Means Clustering/1. K Means Algorithm Theory.mp4	9.61 MB
21. K Means Clustering/1. K Means Algorithm Theory.vtt	6.82 kB
21. K Means Clustering/2. K Means with Python.mp4	29.95 MB
21. K Means Clustering/2. K Means with Python.vtt	15.55 kB
21. K Means Clustering/3. K Means Project Overview.mp4	9.20 MB
21. K Means Clustering/3. K Means Project Overview.vtt	4.32 kB
21. K Means Clustering/4. K Means Project Solutions.mp4	47.12 MB
21. K Means Clustering/4. K Means Project Solutions.vtt	20.31 kB
22. Principal Component Analysis/1. Principal Component Analysis.mp4	6.21 MB
22. Principal Component Analysis/1. Principal Component Analysis.vtt	4.42 kB
22. Principal Component Analysis/2. PCA with Python.mp4	43.24 MB
22. Principal Component Analysis/2. PCA with Python.vtt	21.12 kB
23. Recommender Systems/1. Recommender Systems.mp4	7.88 MB
23. Recommender Systems/1. Recommender Systems.vtt	6.11 kB
23. Recommender Systems/2. Recommender Systems with Python - Part 1.mp4	35.52 MB
23. Recommender Systems/2. Recommender Systems with Python - Part 1.vtt	17.43 kB
23. Recommender Systems/3. Recommender Systems with Python - Part 2.mp4	34.44 MB
23. Recommender Systems/3. Recommender Systems with Python - Part 2.vtt	15.32 kB
24. Natural Language Processing/1. Natural Language Processing Theory.mp4	8.86 MB
24. Natural Language Processing/1. Natural Language Processing Theory.vtt	6.34 kB
24. Natural Language Processing/2. NLP with Python - Part 1.mp4	40.16 MB
24. Natural Language Processing/2. NLP with Python - Part 1.vtt	19.76 kB
24. Natural Language Processing/3. NLP with Python - Part 2.mp4	41.92 MB
24. Natural Language Processing/3. NLP with Python - Part 2.vtt	22.59 kB
24. Natural Language Processing/4. NLP with Python - Part 3.mp4	37.66 MB
24. Natural Language Processing/4. NLP with Python - Part 3.vtt	21.49 kB
24. Natural Language Processing/5. NLP Project Overview.mp4	6.67 MB
24. Natural Language Processing/5. NLP Project Overview.vtt	3.24 kB
24. Natural Language Processing/6. NLP Project Solutions.mp4	48.05 MB
24. Natural Language Processing/6. NLP Project Solutions.vtt	23.97 kB
25. Big Data and Spark with Python/1. Welcome to the Big Data Section!.mp4	5.23 MB
25. Big Data and Spark with Python/1. Welcome to the Big Data Section!.vtt	678.00 B
25. Big Data and Spark with Python/10. Lambda Expressions Review.mp4	9.32 MB
25. Big Data and Spark with Python/10. Lambda Expressions Review.vtt	7.04 kB
25. Big Data and Spark with Python/11. Introduction to Spark and Python.mp4	15.74 MB
25. Big Data and Spark with Python/11. Introduction to Spark and Python.vtt	10.96 kB
25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4	55.68 MB
25. Big Data and Spark with Python/12. RDD Transformations and Actions.vtt	28.85 kB
25. Big Data and Spark with Python/2. Big Data Overview.mp4	9.96 MB
25. Big Data and Spark with Python/2. Big Data Overview.vtt	7.06 kB
25. Big Data and Spark with Python/3. Spark Overview.mp4	15.69 MB
25. Big Data and Spark with Python/3. Spark Overview.vtt	12.28 kB
25. Big Data and Spark with Python/4. Local Spark Set-Up.html	1.62 kB
25. Big Data and Spark with Python/5. AWS Account Set-Up.mp4	10.88 MB
25. Big Data and Spark with Python/5. AWS Account Set-Up.vtt	6.14 kB
25. Big Data and Spark with Python/5.1 Amazon Guide to Creating an AWS Account.html	146.00 B
25. Big Data and Spark with Python/6. Quick Note on AWS Security.html	392.00 B
25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4	62.98 MB
25. Big Data and Spark with Python/7. EC2 Instance Set-Up.vtt	22.93 kB
25. Big Data and Spark with Python/7.1 Amazon Guide to Using PuTTY for Windows SSH.html	122.00 B
25. Big Data and Spark with Python/8. SSH with Mac or Linux.mp4	9.15 MB
25. Big Data and Spark with Python/8. SSH with Mac or Linux.vtt	7.10 kB
25. Big Data and Spark with Python/8.1 Amazon Guide to SSH with Mac.html	140.00 B
25. Big Data and Spark with Python/9. PySpark Setup.mp4	60.40 MB
25. Big Data and Spark with Python/9. PySpark Setup.vtt	32.23 kB
25. Big Data and Spark with Python/9.1 Step by Step Guide for PySpark Set-up.html	158.00 B
26. Neural Nets and Deep Learning/1. Welcome to the Deep Learning Section!.mp4	4.90 MB
26. Neural Nets and Deep Learning/1. Welcome to the Deep Learning Section!.vtt	647.00 B
26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4	94.60 MB
26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.vtt	13.32 kB
26. Neural Nets and Deep Learning/2. Neural Network Theory.mp4	12.45 MB
26. Neural Nets and Deep Learning/2. Neural Network Theory.vtt	9.04 kB
26. Neural Nets and Deep Learning/3. What is TensorFlow.mp4	25.11 MB
26. Neural Nets and Deep Learning/3. What is TensorFlow.vtt	7.91 kB
26. Neural Nets and Deep Learning/4. Installing Tensorflow 1.10.mp4	7.27 MB
26. Neural Nets and Deep Learning/4. Installing Tensorflow 1.10.vtt	2.59 kB
26. Neural Nets and Deep Learning/5. TensorFlow Basics.mp4	30.98 MB
26. Neural Nets and Deep Learning/5. TensorFlow Basics.vtt	19.11 kB
26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4	58.38 MB
26. Neural Nets and Deep Learning/6. MNIST - Part One.vtt	12.49 kB
26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4	94.09 MB
26. Neural Nets and Deep Learning/7. MNIST - Part Two.vtt	19.06 kB
26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4	156.64 MB
26. Neural Nets and Deep Learning/8. Tensorflow Estimators.vtt	27.17 kB
26. Neural Nets and Deep Learning/9. Deep Learning Project.mp4	28.16 MB
26. Neural Nets and Deep Learning/9. Deep Learning Project.vtt	5.11 kB
27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4	69.26 MB
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27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/7. Tensorflow Project Exercise - Solutions.vtt	18.19 kB
28. BONUS DISCOUNT COUPONS FOR OTHER COURSES/1. Bonus Lecture Coupons.html	3.20 kB
3. Jupyter Overview/1. Updates to Notebook Zip.html	197.00 B
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3. Jupyter Overview/Refactored_Py_DS_ML_Bootcamp-master/04-Pandas-Exercises/Salaries.csv	1.13 MB
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5. Python for Data Analysis - NumPy/1. Welcome to the NumPy Section!.mp4	2.48 MB
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5. Python for Data Analysis - NumPy/4. Quick Note on Array Indexing.html	1.03 kB
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8. Python for Data Visualization - Matplotlib/1. Welcome to the Data Visualization Section!.mp4	5.19 MB
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9. Python for Data Visualization - Seaborn/1. Introduction to Seaborn.mp4	9.03 MB
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9. Python for Data Visualization - Seaborn/1.1 Link to Seaborn Documentation (updated).html	87.00 B
9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4	51.40 MB
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Description

Description
Are you ready to start your path to becoming a Data Scientist!

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy!

We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:

Programming with Python
NumPy with Python
Using pandas Data Frames to solve complex tasks
Use pandas to handle Excel Files
Web scraping with python
Connect Python to SQL
Use matplotlib and seaborn for data visualizations
Use plotly for interactive visualizations
Machine Learning with SciKit Learn, including:
Linear Regression
K Nearest Neighbors
K Means Clustering
Decision Trees
Random Forests
Natural Language Processing
Neural Nets and Deep Learning
Support Vector Machines
and much, much more!
Enroll in the course and become a data scientist today!

Who is the target audience?
This course is meant for people with at least some programming experience