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| File | Size |
|---|---|
| 01. Introduction to the Course/1. What is Machine Learning.mp4 | 45.29 MB |
| 01. Introduction to the Course/1. What is Machine Learning.vtt | 5.79 kB |
| 01. Introduction to the Course/2. What is Data Science.mp4 | 42.86 MB |
| 01. Introduction to the Course/2. What is Data Science.vtt | 4.86 kB |
| 01. Introduction to the Course/3. Download the Syllabus.html | 1.03 kB |
| 01. Introduction to the Course/3.1 ML Data Science Syllabus.pdf.pdf | 103.97 kB |
| 01. Introduction to the Course/4. Top Tips for Succeeding on this Course.html | 2.09 kB |
| 01. Introduction to the Course/4.1 App Brewery Cornell Notes Template.html | 141.00 B |
| 01. Introduction to the Course/5. Course Resources List.html | 1.13 kB |
| 02. Predict Movie Box Office Revenue with Linear Regression/1. Introduction to Linear Regression & Specifying the Problem.mp4 | 30.33 MB |
| 02. Predict Movie Box Office Revenue with Linear Regression/1. Introduction to Linear Regression & Specifying the Problem.vtt | 7.28 kB |
| 02. Predict Movie Box Office Revenue with Linear Regression/1.1 Course Resources.html | 122.00 B |
| 02. Predict Movie Box Office Revenue with Linear Regression/2. Gather & Clean the Data.mp4 | 97.02 MB |
| 02. Predict Movie Box Office Revenue with Linear Regression/2. Gather & Clean the Data.vtt | 11.74 kB |
| 02. Predict Movie Box Office Revenue with Linear Regression/2.1 cost_revenue_dirty.csv.csv | 374.68 kB |
| 02. Predict Movie Box Office Revenue with Linear Regression/2.2 The-Numbers Movie Budgets.html | 102.00 B |
| 02. Predict Movie Box Office Revenue with Linear Regression/3. Explore & Visualise the Data with Python.mp4 | 148.16 MB |
| 02. Predict Movie Box Office Revenue with Linear Regression/3. Explore & Visualise the Data with Python.vtt | 26.38 kB |
| 02. Predict Movie Box Office Revenue with Linear Regression/3.1 cost_revenue_clean.csv.csv | 90.82 kB |
| 02. Predict Movie Box Office Revenue with Linear Regression/3.2 Try Jupyter in your Browser.html | 85.00 B |
| 02. Predict Movie Box Office Revenue with Linear Regression/4. The Intuition behind the Linear Regression Model.mp4 | 29.63 MB |
| 02. Predict Movie Box Office Revenue with Linear Regression/4. The Intuition behind the Linear Regression Model.vtt | 9.14 kB |
| 02. Predict Movie Box Office Revenue with Linear Regression/4.1 01 Linear Regression (checkpoint).ipynb.zip.zip | 37.64 kB |
| 02. Predict Movie Box Office Revenue with Linear Regression/5. Analyse and Evaluate the Results.mp4 | 105.17 MB |
| 02. Predict Movie Box Office Revenue with Linear Regression/5. Analyse and Evaluate the Results.vtt | 18.88 kB |
| 02. Predict Movie Box Office Revenue with Linear Regression/6. Download the Complete Notebook Here.html | 242.00 B |
| 02. Predict Movie Box Office Revenue with Linear Regression/6.1 01 Linear Regression (complete).ipynb.zip.zip | 75.28 kB |
| 02. Predict Movie Box Office Revenue with Linear Regression/7. Join the Student Community.html | 730.00 B |
| 03. Python Programming for Data Science and Machine Learning/1. Windows Users - Install Anaconda.mp4 | 49.60 MB |
| 03. Python Programming for Data Science and Machine Learning/1. Windows Users - Install Anaconda.vtt | 7.46 kB |
| 03. Python Programming for Data Science and Machine Learning/1.1 Course Resources.html | 122.00 B |
| 03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 | 232.08 MB |
| 03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.vtt | 30.42 kB |
| 03. Python Programming for Data Science and Machine Learning/11. [Python] - Functions - Part 1 Defining and Calling Functions.mp4 | 41.61 MB |
| 03. Python Programming for Data Science and Machine Learning/11. [Python] - Functions - Part 1 Defining and Calling Functions.vtt | 8.86 kB |
| 03. Python Programming for Data Science and Machine Learning/12. Python Functions Coding Exercise - Part 1.html | 149.00 B |
| 03. Python Programming for Data Science and Machine Learning/13. [Python] - Functions - Part 2 Arguments & Parameters.mp4 | 128.20 MB |
| 03. Python Programming for Data Science and Machine Learning/13. [Python] - Functions - Part 2 Arguments & Parameters.vtt | 17.58 kB |
| 03. Python Programming for Data Science and Machine Learning/14. Python Functions Coding Exercise - Part 2.html | 149.00 B |
| 03. Python Programming for Data Science and Machine Learning/15. [Python] - Functions - Part 3 Results & Return Values.mp4 | 82.64 MB |
| 03. Python Programming for Data Science and Machine Learning/15. [Python] - Functions - Part 3 Results & Return Values.vtt | 14.05 kB |
| 03. Python Programming for Data Science and Machine Learning/16. Python Functions Coding Exercise - Part 3.html | 149.00 B |
| 03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4 | 156.77 MB |
| 03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.vtt | 25.19 kB |
| 03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4 | 171.46 MB |
| 03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.vtt | 22.49 kB |
| 03. Python Programming for Data Science and Machine Learning/19. Working with Python Objects to Analyse Data.vtt | 22.97 kB |
| 03. Python Programming for Data Science and Machine Learning/2. Mac Users - Install Anaconda.mp4 | 52.41 MB |
| 03. Python Programming for Data Science and Machine Learning/2. Mac Users - Install Anaconda.vtt | 6.83 kB |
| 03. Python Programming for Data Science and Machine Learning/2.1 Course Resources.html | 122.00 B |
| 03. Python Programming for Data Science and Machine Learning/20. [Python] - Tips, Code Style and Naming Conventions.mp4 | 81.54 MB |
| 03. Python Programming for Data Science and Machine Learning/20. [Python] - Tips, Code Style and Naming Conventions.vtt | 14.12 kB |
| 03. Python Programming for Data Science and Machine Learning/21. Download the Complete Notebook Here.html | 242.00 B |
| 03. Python Programming for Data Science and Machine Learning/21.1 02 Python Intro.ipynb.zip.zip | 36.44 kB |
| 03. Python Programming for Data Science and Machine Learning/3. Does LSD Make You Better at Maths.mp4 | 42.26 MB |
| 03. Python Programming for Data Science and Machine Learning/3. Does LSD Make You Better at Maths.vtt | 6.23 kB |
| 03. Python Programming for Data Science and Machine Learning/4. Download the 12 Rules to Learn to Code.html | 1.13 kB |
| 03. Python Programming for Data Science and Machine Learning/4.1 12 Rules to Learn to Code.pdf.pdf | 2.25 MB |
| 03. Python Programming for Data Science and Machine Learning/5. [Python] - Variables and Types.mp4 | 71.37 MB |
| 03. Python Programming for Data Science and Machine Learning/5. [Python] - Variables and Types.vtt | 14.20 kB |
| 03. Python Programming for Data Science and Machine Learning/6. Python Variable Coding Exercise.html | 149.00 B |
| 03. Python Programming for Data Science and Machine Learning/7. [Python] - Lists and Arrays.mp4 | 53.47 MB |
| 03. Python Programming for Data Science and Machine Learning/7. [Python] - Lists and Arrays.mp4.jpg | 59.00 kB |
| 03. Python Programming for Data Science and Machine Learning/7. [Python] - Lists and Arrays.txt | 235.00 B |
| 03. Python Programming for Data Science and Machine Learning/7. [Python] - Lists and Arrays.vtt | 10.49 kB |
| 03. Python Programming for Data Science and Machine Learning/8. Python Lists Coding Exercise.html | 149.00 B |
| 03. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.mp4 | 153.21 MB |
| 03. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.vtt | 24.01 kB |
| 03. Python Programming for Data Science and Machine Learning/9.1 lsd_math_score_data.csv.csv | 155.00 B |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/1. What's Coming Up.mp4 | 20.93 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/1. What's Coming Up.vtt | 3.24 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/1.1 Course Resources.html | 122.00 B |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 | 236.60 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.vtt | 31.31 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 | 193.48 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.vtt | 22.83 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/12. Understanding Partial Derivatives and How to use SymPy.mp4 | 132.82 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/12. Understanding Partial Derivatives and How to use SymPy.vtt | 17.38 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/13. Implementing Batch Gradient Descent with SymPy.mp4 | 86.83 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/13. Implementing Batch Gradient Descent with SymPy.vtt | 11.23 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/14. [Python] - Loops and Performance Considerations.mp4 | 131.08 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/14. [Python] - Loops and Performance Considerations.vtt | 15.52 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/15. Reshaping and Slicing N-Dimensional Arrays.mp4 | 140.82 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/15. Reshaping and Slicing N-Dimensional Arrays.vtt | 19.39 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/16. Concatenating Numpy Arrays.mp4 | 71.33 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/16. Concatenating Numpy Arrays.vtt | 7.64 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/17. Introduction to the Mean Squared Error (MSE).mp4 | 64.57 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/17. Introduction to the Mean Squared Error (MSE).vtt | 10.83 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/18. Transposing and Reshaping Arrays.mp4 | 86.91 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/18. Transposing and Reshaping Arrays.vtt | 11.81 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/19. Implementing a MSE Cost Function.mp4 | 81.12 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/19. Implementing a MSE Cost Function.vtt | 11.65 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/2. How a Machine Learns.mp4 | 22.78 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/2. How a Machine Learns.vtt | 6.08 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/20. Understanding Nested Loops and Plotting the MSE Function (Part 1).mp4 | 73.16 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/20. Understanding Nested Loops and Plotting the MSE Function (Part 1).vtt | 11.95 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/21. Plotting the Mean Squared Error (MSE) on a Surface (Part 2).mp4 | 124.88 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/21. Plotting the Mean Squared Error (MSE) on a Surface (Part 2).vtt | 15.30 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/22. Running Gradient Descent with a MSE Cost Function.vtt | 19.61 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/23. Visualising the Optimisation on a 3D Surface.mp4 | 74.82 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/23. Visualising the Optimisation on a 3D Surface.vtt | 9.18 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/24. Download the Complete Notebook Here.html | 242.00 B |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/24.1 03 Gradient Descent.ipynb.zip.zip | 1.14 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/3. Introduction to Cost Functions.mp4 | 66.20 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/3. Introduction to Cost Functions.vtt | 7.89 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/4. LaTeX Markdown and Generating Data with Numpy.mp4 | 90.52 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/4. LaTeX Markdown and Generating Data with Numpy.vtt | 14.71 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/5. Understanding the Power Rule & Creating Charts with Subplots.mp4 | 90.17 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/5. Understanding the Power Rule & Creating Charts with Subplots.vtt | 15.24 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 | 287.45 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.vtt | 35.86 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/7. Python Loops Coding Exercise.html | 149.00 B |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 | 291.34 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).vtt | 36.40 kB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 | 219.02 MB |
| 04. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).vtt | 28.47 kB |
| 05. Predict House Prices with Multivariable Linear Regression/1. Defining the Problem.mp4 | 39.92 MB |
| 05. Predict House Prices with Multivariable Linear Regression/1. Defining the Problem.vtt | 5.45 kB |
| 05. Predict House Prices with Multivariable Linear Regression/1.1 Course Resources.html | 122.00 B |
| 05. Predict House Prices with Multivariable Linear Regression/10. Calculating Correlations and the Problem posed by Multicollinearity.mp4 | 111.44 MB |
| 05. Predict House Prices with Multivariable Linear Regression/10. Calculating Correlations and the Problem posed by Multicollinearity.vtt | 15.25 kB |
| 05. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.mp4 | 168.65 MB |
| 05. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.vtt | 20.68 kB |
| 05. Predict House Prices with Multivariable Linear Regression/12. Techniques to Style Scatter Plots.mp4 | 128.53 MB |
| 05. Predict House Prices with Multivariable Linear Regression/12. Techniques to Style Scatter Plots.vtt | 17.68 kB |
| 05. Predict House Prices with Multivariable Linear Regression/13. A Note for the Next Lesson.html | 476.00 B |
| 05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 | 214.40 MB |
| 05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.vtt | 24.44 kB |
| 05. Predict House Prices with Multivariable Linear Regression/15. Understanding Multivariable Regression.mp4 | 48.81 MB |
| 05. Predict House Prices with Multivariable Linear Regression/15. Understanding Multivariable Regression.vtt | 6.38 kB |
| 05. Predict House Prices with Multivariable Linear Regression/16. How to Shuffle and Split Training & Testing Data.mp4 | 64.35 MB |
| 05. Predict House Prices with Multivariable Linear Regression/16. How to Shuffle and Split Training & Testing Data.vtt | 10.08 kB |
| 05. Predict House Prices with Multivariable Linear Regression/17. Running a Multivariable Regression.mp4 | 55.57 MB |
| 05. Predict House Prices with Multivariable Linear Regression/17. Running a Multivariable Regression.vtt | 8.44 kB |
| 05. Predict House Prices with Multivariable Linear Regression/18. How to Calculate the Model Fit with R-Squared.mp4 | 32.40 MB |
| 05. Predict House Prices with Multivariable Linear Regression/18. How to Calculate the Model Fit with R-Squared.vtt | 3.85 kB |
| 05. Predict House Prices with Multivariable Linear Regression/19. Introduction to Model Evaluation.mp4 | 15.99 MB |
| 05. Predict House Prices with Multivariable Linear Regression/19. Introduction to Model Evaluation.vtt | 3.20 kB |
| 05. Predict House Prices with Multivariable Linear Regression/2. Gathering the Boston House Price Data.vtt | 7.35 kB |
| 05. Predict House Prices with Multivariable Linear Regression/20. Improving the Model by Transforming the Data.mp4 | 126.87 MB |
| 05. Predict House Prices with Multivariable Linear Regression/20. Improving the Model by Transforming the Data.vtt | 18.69 kB |
| 05. Predict House Prices with Multivariable Linear Regression/21. How to Interpret Coefficients using p-Values and Statistical Significance.mp4 | 65.40 MB |
| 05. Predict House Prices with Multivariable Linear Regression/21. How to Interpret Coefficients using p-Values and Statistical Significance.vtt | 9.46 kB |
| 05. Predict House Prices with Multivariable Linear Regression/22. Understanding VIF & Testing for Multicollinearity.mp4 | 143.83 MB |
| 05. Predict House Prices with Multivariable Linear Regression/22. Understanding VIF & Testing for Multicollinearity.vtt | 22.11 kB |
| 05. Predict House Prices with Multivariable Linear Regression/23. Model Simiplication & Baysian Information Criterion.mp4 | 150.15 MB |
| 05. Predict House Prices with Multivariable Linear Regression/23. Model Simiplication & Baysian Information Criterion.vtt | 19.90 kB |
| 05. Predict House Prices with Multivariable Linear Regression/24. How to Analyse and Plot Regression Residuals.mp4 | 64.18 MB |
| 05. Predict House Prices with Multivariable Linear Regression/24. How to Analyse and Plot Regression Residuals.vtt | 12.41 kB |
| 05. Predict House Prices with Multivariable Linear Regression/25. Residual Analysis (Part 1) Predicted vs Actual Values.mp4 | 124.42 MB |
| 05. Predict House Prices with Multivariable Linear Regression/25. Residual Analysis (Part 1) Predicted vs Actual Values.vtt | 15.41 kB |
| 05. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4 | 153.02 MB |
| 05. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.vtt | 19.00 kB |
| 05. Predict House Prices with Multivariable Linear Regression/27. Making Predictions (Part 1) MSE & R-Squared.mp4 | 152.68 MB |
| 05. Predict House Prices with Multivariable Linear Regression/27. Making Predictions (Part 1) MSE & R-Squared.vtt | 20.07 kB |
| 05. Predict House Prices with Multivariable Linear Regression/28. Making Predictions (Part 2) Standard Deviation, RMSE, and Prediction Intervals.mp4 | 84.85 MB |
| 05. Predict House Prices with Multivariable Linear Regression/28. Making Predictions (Part 2) Standard Deviation, RMSE, and Prediction Intervals.vtt | 12.66 kB |
| 05. Predict House Prices with Multivariable Linear Regression/29. Build a Valuation Tool (Part 1) Working with Pandas Series & Numpy ndarrays.mp4 | 131.31 MB |
| 05. Predict House Prices with Multivariable Linear Regression/29. Build a Valuation Tool (Part 1) Working with Pandas Series & Numpy ndarrays.vtt | 17.95 kB |
| 05. Predict House Prices with Multivariable Linear Regression/3. Clean and Explore the Data (Part 1) Understand the Nature of the Dataset.mp4 | 87.14 MB |
| 05. Predict House Prices with Multivariable Linear Regression/3. Clean and Explore the Data (Part 1) Understand the Nature of the Dataset.vtt | 13.29 kB |
| 05. Predict House Prices with Multivariable Linear Regression/30. [Python] - Conditional Statements - Build a Valuation Tool (Part 2).mp4 | 134.39 MB |
| 05. Predict House Prices with Multivariable Linear Regression/30. [Python] - Conditional Statements - Build a Valuation Tool (Part 2).vtt | 18.50 kB |
| 05. Predict House Prices with Multivariable Linear Regression/31. Python Conditional Statement Coding Exercise.html | 149.00 B |
| 05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 | 244.16 MB |
| 05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.vtt | 24.49 kB |
| 05. Predict House Prices with Multivariable Linear Regression/33. Download the Complete Notebook Here.html | 242.00 B |
| 05. Predict House Prices with Multivariable Linear Regression/33.1 04 Multivariable Regression.ipynb.zip.zip | 3.55 MB |
| 05. Predict House Prices with Multivariable Linear Regression/33.2 04 Valuation Tool.ipynb.zip.zip | 2.93 kB |
| 05. Predict House Prices with Multivariable Linear Regression/4. Clean and Explore the Data (Part 2) Find Missing Values.mp4 | 135.03 MB |
| 05. Predict House Prices with Multivariable Linear Regression/4. Clean and Explore the Data (Part 2) Find Missing Values.vtt | 15.83 kB |
| 05. Predict House Prices with Multivariable Linear Regression/5. Visualising Data (Part 1) Historams, Distributions & Outliers.mp4 | 64.56 MB |
| 05. Predict House Prices with Multivariable Linear Regression/5. Visualising Data (Part 1) Historams, Distributions & Outliers.vtt | 12.06 kB |
| 05. Predict House Prices with Multivariable Linear Regression/6. Visualising Data (Part 2) Seaborn and Probability Density Functions.mp4 | 57.32 MB |
| 05. Predict House Prices with Multivariable Linear Regression/6. Visualising Data (Part 2) Seaborn and Probability Density Functions.vtt | 7.67 kB |
| 05. Predict House Prices with Multivariable Linear Regression/7. Working with Index Data, Pandas Series, and Dummy Variables.vtt | 17.62 kB |
| 05. Predict House Prices with Multivariable Linear Regression/8. Understanding Descriptive Statistics the Mean vs the Median.mp4 | 62.19 MB |
| 05. Predict House Prices with Multivariable Linear Regression/8. Understanding Descriptive Statistics the Mean vs the Median.vtt | 10.45 kB |
| 05. Predict House Prices with Multivariable Linear Regression/9. Introduction to Correlation Understanding Strength & Direction.mp4 | 33.09 MB |
| 05. Predict House Prices with Multivariable Linear Regression/9. Introduction to Correlation Understanding Strength & Direction.vtt | 7.13 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/1. How to Translate a Business Problem into a Machine Learning Problem.mp4 | 42.26 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/1. How to Translate a Business Problem into a Machine Learning Problem.vtt | 8.16 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/1.1 Course Resources.html | 122.00 B |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/10. Extracting the Text in the Email Body.mp4 | 47.43 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/10. Extracting the Text in the Email Body.vtt | 5.14 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/11. [Python] - Generator Functions & the yield Keyword.mp4 | 133.16 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/11. [Python] - Generator Functions & the yield Keyword.vtt | 19.35 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/12. Create a Pandas DataFrame of Email Bodies.mp4 | 48.67 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/12. Create a Pandas DataFrame of Email Bodies.vtt | 6.24 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/13. Cleaning Data (Part 1) Check for Empty Emails & Null Entries.mp4 | 121.93 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/13. Cleaning Data (Part 1) Check for Empty Emails & Null Entries.vtt | 15.32 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/14. Cleaning Data (Part 2) Working with a DataFrame Index.mp4 | 61.83 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/14. Cleaning Data (Part 2) Working with a DataFrame Index.vtt | 8.12 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/15. Saving a JSON File with Pandas.mp4 | 56.35 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/15. Saving a JSON File with Pandas.vtt | 6.02 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/16. Data Visualisation (Part 1) Pie Charts.mp4 | 90.69 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/16. Data Visualisation (Part 1) Pie Charts.vtt | 13.90 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/17. Data Visualisation (Part 2) Donut Charts.mp4 | 61.79 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/17. Data Visualisation (Part 2) Donut Charts.vtt | 8.11 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/18. Introduction to Natural Language Processing (NLP).mp4 | 50.81 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/18. Introduction to Natural Language Processing (NLP).vtt | 7.00 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/19. Tokenizing, Removing Stop Words and the Python Set Data Structure.mp4 | 117.76 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/19. Tokenizing, Removing Stop Words and the Python Set Data Structure.vtt | 15.99 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/2. Gathering Email Data and Working with Archives & Text Editors.mp4 | 112.05 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/2. Gathering Email Data and Working with Archives & Text Editors.vtt | 11.89 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/2.1 SpamData.zip.zip | 21.28 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/20. Word Stemming & Removing Punctuation.mp4 | 71.44 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/20. Word Stemming & Removing Punctuation.vtt | 8.98 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/21. Removing HTML tags with BeautifulSoup.mp4 | 95.82 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/21. Removing HTML tags with BeautifulSoup.vtt | 9.51 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/22. Creating a Function for Text Processing.mp4 | 53.91 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/23. A Note for the Next Lesson.html | 476.00 B |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/24. Advanced Subsetting on DataFrames the apply() Function.mp4 | 83.40 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/24. Advanced Subsetting on DataFrames the apply() Function.vtt | 11.62 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/25. [Python] - Logical Operators to Create Subsets and Indices.mp4 | 86.41 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/26. Word Clouds & How to install Additional Python Packages.mp4 | 79.49 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/26. Word Clouds & How to install Additional Python Packages.vtt | 10.14 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/27. Creating your First Word Cloud.mp4 | 98.44 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/27. Creating your First Word Cloud.vtt | 11.87 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/28. Styling the Word Cloud with a Mask.mp4 | 131.37 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/28. Styling the Word Cloud with a Mask.vtt | 14.23 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/29. Solving the Hamlet Challenge.mp4 | 57.11 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/29. Solving the Hamlet Challenge.vtt | 5.26 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/3. How to Add the Lesson Resources to the Project.mp4 | 28.91 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/3. How to Add the Lesson Resources to the Project.vtt | 4.08 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/30. Styling Word Clouds with Custom Fonts.mp4 | 127.30 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/30. Styling Word Clouds with Custom Fonts.vtt | 12.55 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/31. Create the Vocabulary for the Spam Classifier.vtt | 15.37 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/32. Coding Challenge Check for Membership in a Collection.mp4 | 32.35 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/32. Coding Challenge Check for Membership in a Collection.vtt | 5.08 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/33. Coding Challenge Find the Longest Email.mp4 | 54.47 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/33. Coding Challenge Find the Longest Email.vtt | 6.51 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/34. Sparse Matrix (Part 1) Split the Training and Testing Data.mp4 | 87.63 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/34. Sparse Matrix (Part 1) Split the Training and Testing Data.vtt | 13.43 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/35. Sparse Matrix (Part 2) Data Munging with Nested Loops.mp4 | 137.23 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/35. Sparse Matrix (Part 2) Data Munging with Nested Loops.vtt | 19.80 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/36. Sparse Matrix (Part 3) Using groupby() and Saving .txt Files.mp4 | 80.50 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/36. Sparse Matrix (Part 3) Using groupby() and Saving .txt Files.vtt | 10.63 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/37. Coding Challenge Solution Preparing the Test Data.mp4 | 28.93 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/37. Coding Challenge Solution Preparing the Test Data.vtt | 4.25 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/38. Checkpoint Understanding the Data.mp4 | 96.37 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/38. Checkpoint Understanding the Data.vtt | 12.00 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/39. Download the Complete Notebook Here.html | 242.00 B |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/39.1 06 Bayes Classifier - Pre-Processing.ipynb.zip.zip | 988.02 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/4. The Naive Bayes Algorithm and the Decision Boundary for a Classifier.mp4 | 33.39 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/4. The Naive Bayes Algorithm and the Decision Boundary for a Classifier.vtt | 5.18 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/5. Basic Probability.mp4 | 28.56 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/5. Basic Probability.vtt | 4.54 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/6. Joint & Conditional Probability.mp4 | 141.82 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/6. Joint & Conditional Probability.vtt | 16.75 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/7. Bayes Theorem.mp4 | 83.12 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/7. Bayes Theorem.vtt | 12.80 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/8. Reading Files (Part 1) Absolute Paths and Relative Paths.mp4 | 60.90 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/8. Reading Files (Part 1) Absolute Paths and Relative Paths.vtt | 10.01 kB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/9. Reading Files (Part 2) Stream Objects and Email Structure.mp4 | 104.33 MB |
| 06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/9. Reading Files (Part 2) Stream Objects and Email Structure.vtt | 12.37 kB |
| 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/1. Setting up the Notebook and Understanding Delimiters in a Dataset.mp4 | 72.50 MB |
| 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/1. Setting up the Notebook and Understanding Delimiters in a Dataset.vtt | 9.79 kB |
| 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/1.1 SpamData.zip.zip | 22.32 MB |
| 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/1.2 Course Resources.html | 122.00 B |
| 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/2. Create a Full Matrix.mp4 | 132.24 MB |
| 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/2. Create a Full Matrix.vtt | 18.82 kB |
| 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/3. Count the Tokens to Train the Naive Bayes Model.mp4 | 96.19 MB |
| 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/3. Count the Tokens to Train the Naive Bayes Model.vtt | 16.02 kB |
| 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/4. Sum the Tokens across the Spam and Ham Subsets.mp4 | 46.71 MB |
| 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/4. Sum the Tokens across the Spam and Ham Subsets.vtt | 6.89 kB |
| 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/5. Calculate the Token Probabilities and Save the Trained Model.mp4 | 53.46 MB |
| 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/5. Calculate the Token Probabilities and Save the Trained Model.vtt | 8.24 kB |
| 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/6. Coding Challenge Prepare the Test Data.mp4 | 35.60 MB |
| 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/6. Coding Challenge Prepare the Test Data.vtt | 4.52 kB |
| 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/7. Download the Complete Notebook Here.html | 242.00 B |
| 07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/7.1 07 Bayes Classifier - Training.ipynb.zip.zip | 5.82 kB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/1. Set up the Testing Notebook.mp4 | 26.45 MB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/1. Set up the Testing Notebook.vtt | 3.32 kB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/1.1 Course Resources.html | 122.00 B |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/1.2 SpamData.zip.zip | 22.83 MB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/10. The F-score or F1 Metric.mp4 | 24.72 MB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/10. The F-score or F1 Metric.vtt | 4.03 kB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 | 195.10 MB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.vtt | 29.17 kB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/12. Download the Complete Notebook Here.html | 242.00 B |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/12.1 08 Naive Bayes with scikit-learn.ipynb.zip.zip | 13.26 kB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/12.2 07 Bayes Classifier - Testing, Inference & Evaluation.ipynb.zip.zip | 243.05 kB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/2. Joint Conditional Probability (Part 1) Dot Product.mp4 | 66.41 MB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/2. Joint Conditional Probability (Part 1) Dot Product.vtt | 11.15 kB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/3. Joint Conditional Probablity (Part 2) Priors.mp4 | 63.98 MB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/3. Joint Conditional Probablity (Part 2) Priors.vtt | 9.34 kB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/4. Making Predictions Comparing Joint Probabilities.mp4 | 52.34 MB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/4. Making Predictions Comparing Joint Probabilities.vtt | 8.53 kB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/5. The Accuracy Metric.mp4 | 40.54 MB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/5. The Accuracy Metric.vtt | 6.69 kB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 | 205.31 MB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.vtt | 29.22 kB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/7. False Positive vs False Negatives.mp4 | 63.25 MB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/7. False Positive vs False Negatives.vtt | 11.22 kB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/8. The Recall Metric.mp4 | 28.16 MB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/8. The Recall Metric.vtt | 5.74 kB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/9. The Precision Metric.mp4 | 53.34 MB |
| 08. Test and Evaluate a Naive Bayes Classifier Part 3/9. The Precision Metric.vtt | 8.32 kB |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/1. The Human Brain and the Inspiration for Artificial Neural Networks.mp4 | 51.81 MB |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/1. The Human Brain and the Inspiration for Artificial Neural Networks.vtt | 9.60 kB |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/1.1 Course Resources.html | 122.00 B |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/2. Layers, Feature Generation and Learning.mp4 | 146.70 MB |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/2. Layers, Feature Generation and Learning.vtt | 24.25 kB |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/3. Costs and Disadvantages of Neural Networks.mp4 | 91.99 MB |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/3. Costs and Disadvantages of Neural Networks.vtt | 16.81 kB |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/4. Preprocessing Image Data and How RGB Works.mp4 | 93.61 MB |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/4. Preprocessing Image Data and How RGB Works.vtt | 14.12 kB |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/4.1 TF_Keras_Classification_Images.zip.zip | 501.10 kB |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/5. Importing Keras Models and the Tensorflow Graph.mp4 | 65.47 MB |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/5. Importing Keras Models and the Tensorflow Graph.vtt | 10.11 kB |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/6. Making Predictions using InceptionResNet.mp4 | 134.58 MB |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/6. Making Predictions using InceptionResNet.vtt | 16.48 kB |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/7. Coding Challenge Solution Using other Keras Models.mp4 | 103.54 MB |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/7. Coding Challenge Solution Using other Keras Models.vtt | 11.41 kB |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/8. Download the Complete Notebook Here.html | 264.00 B |
| 09. Introduction to Neural Networks and How to Use Pre-Trained Models/8.1 09 Neural Nets Pretrained Image Classification.ipynb.zip.zip | 571.83 kB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/1. Solving a Business Problem with Image Classification.mp4 | 30.52 MB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/1. Solving a Business Problem with Image Classification.vtt | 4.39 kB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/1.1 Course Resources.html | 122.00 B |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.vtt | 28.87 kB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/11. Model Evaluation and the Confusion Matrix.mp4 | 62.76 MB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/11. Model Evaluation and the Confusion Matrix.vtt | 9.41 kB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 | 251.84 MB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.vtt | 35.15 kB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/13. Download the Complete Notebook Here.html | 242.00 B |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/13.1 10 Neural Nets - Keras CIFAR10 Classification.ipynb.zip.zip | 120.11 kB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/2. Installing Tensorflow and Keras for Jupyter.mp4 | 42.10 MB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/2. Installing Tensorflow and Keras for Jupyter.vtt | 5.72 kB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/3. Gathering the CIFAR 10 Dataset.mp4 | 31.36 MB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/3. Gathering the CIFAR 10 Dataset.vtt | 5.42 kB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/4. Exploring the CIFAR Data.mp4 | 110.31 MB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/4. Exploring the CIFAR Data.vtt | 15.81 kB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/5. Pre-processing Scaling Inputs and Creating a Validation Dataset.mp4 | 93.16 MB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/5. Pre-processing Scaling Inputs and Creating a Validation Dataset.vtt | 17.40 kB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/6. Compiling a Keras Model and Understanding the Cross Entropy Loss Function.mp4 | 103.61 MB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/6. Compiling a Keras Model and Understanding the Cross Entropy Loss Function.vtt | 16.31 kB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/7. Interacting with the Operating System and the Python Try-Catch Block.mp4 | 133.41 MB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/7. Interacting with the Operating System and the Python Try-Catch Block.vtt | 20.80 kB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/8. Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.mp4 | 100.43 MB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/8. Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.vtt | 12.36 kB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 | 191.53 MB |
| 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.vtt | 24.62 kB |
| 11. Use Tensorflow to Classify Handwritten Digits/1. What's coming up.mp4 | 7.10 MB |
| 11. Use Tensorflow to Classify Handwritten Digits/1. What's coming up.vtt | 2.21 kB |
| 11. Use Tensorflow to Classify Handwritten Digits/1.1 Course Resources.html | 122.00 B |
| 11. Use Tensorflow to Classify Handwritten Digits/10. Understanding the Tensorflow Graph Nodes and Edges.mp4 | 115.74 MB |
| 11. Use Tensorflow to Classify Handwritten Digits/10. Understanding the Tensorflow Graph Nodes and Edges.vtt | 18.56 kB |
| 11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.mp4 | 155.37 MB |
| 11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.vtt | 22.98 kB |
| 11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 | 213.68 MB |
| 11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.vtt | 26.32 kB |
| 11. Use Tensorflow to Classify Handwritten Digits/13. Prediction and Model Evaluation.mp4 | 110.71 MB |
| 11. Use Tensorflow to Classify Handwritten Digits/13. Prediction and Model Evaluation.vtt | 16.52 kB |
| 11. Use Tensorflow to Classify Handwritten Digits/14. Download the Complete Notebook Here.html | 242.00 B |
| 11. Use Tensorflow to Classify Handwritten Digits/14.1 11 Neural Networks - TF Handwriting Recognition.ipynb.zip.zip | 6.60 kB |
| 11. Use Tensorflow to Classify Handwritten Digits/2. Getting the Data and Loading it into Numpy Arrays.mp4 | 52.82 MB |
| 11. Use Tensorflow to Classify Handwritten Digits/2. Getting the Data and Loading it into Numpy Arrays.vtt | 7.91 kB |
| 11. Use Tensorflow to Classify Handwritten Digits/2.1 MNIST.zip.zip | 14.77 MB |
| 11. Use Tensorflow to Classify Handwritten Digits/3. Data Exploration and Understanding the Structure of the Input Data.mp4 | 32.41 MB |
| 11. Use Tensorflow to Classify Handwritten Digits/3. Data Exploration and Understanding the Structure of the Input Data.vtt | 5.74 kB |
| 11. Use Tensorflow to Classify Handwritten Digits/4. Data Preprocessing One-Hot Encoding and Creating the Validation Dataset.vtt | 11.12 kB |
| 11. Use Tensorflow to Classify Handwritten Digits/5. What is a Tensor.mp4 | 45.39 MB |
| 11. Use Tensorflow to Classify Handwritten Digits/5. What is a Tensor.vtt | 7.94 kB |
| 11. Use Tensorflow to Classify Handwritten Digits/6. Creating Tensors and Setting up the Neural Network Architecture.mp4 | 150.86 MB |
| 11. Use Tensorflow to Classify Handwritten Digits/6. Creating Tensors and Setting up the Neural Network Architecture.vtt | 25.37 kB |
| 11. Use Tensorflow to Classify Handwritten Digits/7. Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.mp4 | 75.12 MB |
| 11. Use Tensorflow to Classify Handwritten Digits/7. Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.vtt | 12.42 kB |
| 11. Use Tensorflow to Classify Handwritten Digits/8. TensorFlow Sessions and Batching Data.mp4 | 100.33 MB |
| 11. Use Tensorflow to Classify Handwritten Digits/8. TensorFlow Sessions and Batching Data.vtt | 17.85 kB |
| 11. Use Tensorflow to Classify Handwritten Digits/9. Tensorboard Summaries and the Filewriter.mp4 | 128.29 MB |
| 11. Use Tensorflow to Classify Handwritten Digits/9. Tensorboard Summaries and the Filewriter.vtt | 20.33 kB |
| 12. Next Steps/1. Where next.html | 3.93 kB |
| 12. Next Steps/2. What Modules Do You Want to See.html | 431.00 B |
| 12. Next Steps/3. Stay in Touch!.html | 1.05 kB |
| Udemy Course downloader.txt | 94.00 B |
| udemycoursedownloader.com.url | 132.00 B |
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