[08-2020] python-data-science-machine-learning-bootcamp

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  • 04 Introduction to Optimisation and the Gradient Descent Algorithm/036 [Python] - Loops and the Gradient Descent Algorithm.mp4 449.2 MB
    01 Introduction to the Course/001 What is Machine Learning_.mp4 32.37 MB
    01 Introduction to the Course/002 What is Data Science_.en_US.srt 5.33 KB
    01 Introduction to the Course/002 What is Data Science_.mp4 71.61 MB
    01 Introduction to the Course/003 Download the Syllabus.html 2.14 KB
    01 Introduction to the Course/003 ML-Data-Science-Syllabus.pdf 103.97 KB
    01 Introduction to the Course/004 App-Brewery-Cornell-Notes-Template.txt 81 B
    01 Introduction to the Course/004 Top Tips for Succeeding on this Course.html 2.72 KB
    01 Introduction to the Course/005 Course Resources List.html 1.76 KB
    02 Predict Movie Box Office Revenue with Linear Regression/006 Course-Resources.txt 62 B
    02 Predict Movie Box Office Revenue with Linear Regression/006 Introduction to Linear Regression & Specifying the Problem.en_US.srt 8.08 KB
    02 Predict Movie Box Office Revenue with Linear Regression/006 Introduction to Linear Regression & Specifying the Problem.mp4 38.77 MB
    02 Predict Movie Box Office Revenue with Linear Regression/007 cost-revenue-dirty.csv 374.68 KB
    02 Predict Movie Box Office Revenue with Linear Regression/007 Gather & Clean the Data.en_US.srt 12.93 KB
    02 Predict Movie Box Office Revenue with Linear Regression/007 Gather & Clean the Data.mp4 69.03 MB
    02 Predict Movie Box Office Revenue with Linear Regression/007 The-Numbers-Movie-Budgets.txt 42 B
    02 Predict Movie Box Office Revenue with Linear Regression/008 cost-revenue-clean.csv 90.82 KB
    02 Predict Movie Box Office Revenue with Linear Regression/008 Explore & Visualise the Data with Python.en_US.srt 28.64 KB
    02 Predict Movie Box Office Revenue with Linear Regression/008 Explore & Visualise the Data with Python.mp4 188.77 MB
    02 Predict Movie Box Office Revenue with Linear Regression/008 Try-Jupyter-in-your-Browser.txt 25 B
    02 Predict Movie Box Office Revenue with Linear Regression/009 01-Linear-Regression-checkpoint.ipynb.zip 37.64 KB
    02 Predict Movie Box Office Revenue with Linear Regression/009 The Intuition behind the Linear Regression Model.en_US.srt 10.05 KB
    02 Predict Movie Box Office Revenue with Linear Regression/009 The Intuition behind the Linear Regression Model.mp4 19.46 MB
    02 Predict Movie Box Office Revenue with Linear Regression/010 Analyse and Evaluate the Results.en_US.srt 20.75 KB
    02 Predict Movie Box Office Revenue with Linear Regression/010 Analyse and Evaluate the Results.mp4 142.22 MB
    02 Predict Movie Box Office Revenue with Linear Regression/011 01-Linear-Regression-complete.ipynb.zip 75.28 KB
    02 Predict Movie Box Office Revenue with Linear Regression/011 Download the Complete Notebook Here.html 727 B
    02 Predict Movie Box Office Revenue with Linear Regression/012 Join the Student Community.html 1.34 KB
    02 Predict Movie Box Office Revenue with Linear Regression/013 Any Feedback on this Section_.html 997 B
    03 Python Programming for Data Science and Machine Learning/014 Course-Resources.txt 62 B
    03 Python Programming for Data Science and Machine Learning/014 Windows Users - Install Anaconda.en_US.srt 8.17 KB
    03 Python Programming for Data Science and Machine Learning/014 Windows Users - Install Anaconda.mp4 58.18 MB
    03 Python Programming for Data Science and Machine Learning/015 Course-Resources.txt 62 B
    03 Python Programming for Data Science and Machine Learning/015 Mac Users - Install Anaconda.en_US.srt 7.49 KB
    03 Python Programming for Data Science and Machine Learning/015 Mac Users - Install Anaconda.mp4 81.31 MB
    03 Python Programming for Data Science and Machine Learning/016 Does LSD Make You Better at Maths_.en_US.srt 6.82 KB
    03 Python Programming for Data Science and Machine Learning/016 Does LSD Make You Better at Maths_.mp4 66.9 MB
    03 Python Programming for Data Science and Machine Learning/017 12-Rules-to-Learn-to-Code.pdf 2.25 MB
    03 Python Programming for Data Science and Machine Learning/017 Download the 12 Rules to Learn to Code.html 1.77 KB
    03 Python Programming for Data Science and Machine Learning/018 [Python] - Variables and Types.en_US.srt 15.36 KB
    03 Python Programming for Data Science and Machine Learning/018 [Python] - Variables and Types.mp4 84.28 MB
    03 Python Programming for Data Science and Machine Learning/019 [exercise] Python Variable Coding Exercise.zip 241 B
    03 Python Programming for Data Science and Machine Learning/019 [exercise_info] Python Variable Coding Exercise.html 1.85 KB
    03 Python Programming for Data Science and Machine Learning/019 [exercise_solution] Python Variable Coding Exercise.zip 173 B
    03 Python Programming for Data Science and Machine Learning/019 [Python] - Lists and Arrays.en_US.srt 11.23 KB
    03 Python Programming for Data Science and Machine Learning/019 [Python] - Lists and Arrays.mp4 60.9 MB
    03 Python Programming for Data Science and Machine Learning/020 [exercise] Python Lists Coding Exercise.zip 246 B
    03 Python Programming for Data Science and Machine Learning/020 [exercise_info] Python Lists Coding Exercise.html 1.92 KB
    03 Python Programming for Data Science and Machine Learning/020 [exercise_solution] Python Lists Coding Exercise.zip 228 B
    03 Python Programming for Data Science and Machine Learning/020 [Python & Pandas] - Dataframes and Series.en_US.srt 25.94 KB
    03 Python Programming for Data Science and Machine Learning/020 [Python & Pandas] - Dataframes and Series.mp4 203.61 MB
    03 Python Programming for Data Science and Machine Learning/020 lsd-math-score-data.csv 155 B
    03 Python Programming for Data Science and Machine Learning/021 [Python] - Module Imports.en_US.srt 33.36 KB
    03 Python Programming for Data Science and Machine Learning/021 [Python] - Module Imports.mp4 349.51 MB
    03 Python Programming for Data Science and Machine Learning/022 [Python] - Functions - Part 1_ Defining and Calling Functions.en_US.srt 9.72 KB
    03 Python Programming for Data Science and Machine Learning/022 [Python] - Functions - Part 1_ Defining and Calling Functions.mp4 46.99 MB
    03 Python Programming for Data Science and Machine Learning/023 [exercise] Python Functions Coding Exercise - Part 1.zip 285 B
    03 Python Programming for Data Science and Machine Learning/023 [exercise_info] Python Functions Coding Exercise - Part 1.html 1.64 KB
    03 Python Programming for Data Science and Machine Learning/023 [exercise_solution] Python Functions Coding Exercise - Part 1.zip 269 B
    03 Python Programming for Data Science and Machine Learning/023 [Python] - Functions - Part 2_ Arguments & Parameters.en_US.srt 19.25 KB
    03 Python Programming for Data Science and Machine Learning/023 [Python] - Functions - Part 2_ Arguments & Parameters.mp4 189.68 MB
    03 Python Programming for Data Science and Machine Learning/024 [exercise] Python Functions Coding Exercise - Part 2.zip 276 B
    03 Python Programming for Data Science and Machine Learning/024 [exercise_info] Python Functions Coding Exercise - Part 2.html 1.36 KB
    03 Python Programming for Data Science and Machine Learning/024 [exercise_solution] Python Functions Coding Exercise - Part 2.zip 253 B
    03 Python Programming for Data Science and Machine Learning/024 [Python] - Functions - Part 3_ Results & Return Values.en_US.srt 15.34 KB
    03 Python Programming for Data Science and Machine Learning/024 [Python] - Functions - Part 3_ Results & Return Values.mp4 94.36 MB
    03 Python Programming for Data Science and Machine Learning/025 [exercise] Python Functions Coding Exercise - Part 3.zip 210 B
    03 Python Programming for Data Science and Machine Learning/025 [exercise_info] Python Functions Coding Exercise - Part 3.html 1.42 KB
    03 Python Programming for Data Science and Machine Learning/025 [exercise_solution] Python Functions Coding Exercise - Part 3.zip 190 B
    03 Python Programming for Data Science and Machine Learning/025 [Python] - Objects - Understanding Attributes and Methods.en_US.srt 27.54 KB
    03 Python Programming for Data Science and Machine Learning/025 [Python] - Objects - Understanding Attributes and Methods.mp4 234.49 MB
    03 Python Programming for Data Science and Machine Learning/026 How to Make Sense of Python Documentation for Data Visualisation.en_US.srt 24.48 KB
    03 Python Programming for Data Science and Machine Learning/026 How to Make Sense of Python Documentation for Data Visualisation.mp4 265.05 MB
    03 Python Programming for Data Science and Machine Learning/027 Working with Python Objects to Analyse Data.en_US.srt 25.09 KB
    03 Python Programming for Data Science and Machine Learning/027 Working with Python Objects to Analyse Data.mp4 258.83 MB
    03 Python Programming for Data Science and Machine Learning/028 [Python] - Tips, Code Style and Naming Conventions.en_US.srt 15.53 KB
    03 Python Programming for Data Science and Machine Learning/028 [Python] - Tips, Code Style and Naming Conventions.mp4 130.73 MB
    03 Python Programming for Data Science and Machine Learning/029 02-Python-Intro.ipynb.zip 36.44 KB
    03 Python Programming for Data Science and Machine Learning/029 Download the Complete Notebook Here.html 727 B
    03 Python Programming for Data Science and Machine Learning/030 Any Feedback on this Section_.html 998 B
    04 Introduction to Optimisation and the Gradient Descent Algorithm/031 Course-Resources.txt 62 B
    04 Introduction to Optimisation and the Gradient Descent Algorithm/031 What's Coming Up_.en_US.srt 3.56 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/031 What's Coming Up_.mp4 24.59 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/032 How a Machine Learns.en_US.srt 6.71 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/032 How a Machine Learns.mp4 16.56 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/033 Introduction to Cost Functions.en_US.srt 8.75 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/033 Introduction to Cost Functions.mp4 76.86 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/034 LaTeX Markdown and Generating Data with Numpy.en_US.srt 15.85 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/034 LaTeX Markdown and Generating Data with Numpy.mp4 77.24 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/035 Understanding the Power Rule & Creating Charts with Subplots.en_US.srt 16.63 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/035 Understanding the Power Rule & Creating Charts with Subplots.mp4 104.46 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/036 [Python] - Loops and the Gradient Descent Algorithm.en_US.srt 40.23 KB
    01 Introduction to the Course/001 What is Machine Learning_.en_US.srt 6.41 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/037 [exercise] Python Loops Coding Exercise.zip 260 B
    04 Introduction to Optimisation and the Gradient Descent Algorithm/037 [exercise_info] Python Loops Coding Exercise.html 15.48 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/037 [exercise_solution] Python Loops Coding Exercise.zip 288 B
    04 Introduction to Optimisation and the Gradient Descent Algorithm/037 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).en_US.srt 39.58 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/037 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 446.84 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/038 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).en_US.srt 30.87 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/038 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 302.32 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/039 Understanding the Learning Rate.en_US.srt 34.67 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/039 Understanding the Learning Rate.mp4 280.53 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/040 How to Create 3-Dimensional Charts.en_US.srt 24.04 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/040 How to Create 3-Dimensional Charts.mp4 294.27 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/041 Understanding Partial Derivatives and How to use SymPy.en_US.srt 18.71 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/041 Understanding Partial Derivatives and How to use SymPy.mp4 193.33 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/042 Implementing Batch Gradient Descent with SymPy.en_US.srt 11.97 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/042 Implementing Batch Gradient Descent with SymPy.mp4 117.53 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/043 [Python] - Loops and Performance Considerations.en_US.srt 16.67 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/043 [Python] - Loops and Performance Considerations.mp4 205.61 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/044 Reshaping and Slicing N-Dimensional Arrays.en_US.srt 21.21 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/044 Reshaping and Slicing N-Dimensional Arrays.mp4 168.28 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/045 Concatenating Numpy Arrays.en_US.srt 8.28 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/045 Concatenating Numpy Arrays.mp4 85.15 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/046 Introduction to the Mean Squared Error (MSE).en_US.srt 11.7 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/046 Introduction to the Mean Squared Error (MSE).mp4 75.17 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/047 Transposing and Reshaping Arrays.en_US.srt 12.46 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/047 Transposing and Reshaping Arrays.mp4 101.68 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/048 Implementing a MSE Cost Function.en_US.srt 12.51 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/048 Implementing a MSE Cost Function.mp4 97.47 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/049 Understanding Nested Loops and Plotting the MSE Function (Part 1).en_US.srt 12.89 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/049 Understanding Nested Loops and Plotting the MSE Function (Part 1).mp4 83.37 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/050 Plotting the Mean Squared Error (MSE) on a Surface (Part 2).en_US.srt 16.01 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/050 Plotting the Mean Squared Error (MSE) on a Surface (Part 2).mp4 68.86 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/051 Running Gradient Descent with a MSE Cost Function.en_US.srt 20.52 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/051 Running Gradient Descent with a MSE Cost Function.mp4 129.83 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/052 Visualising the Optimisation on a 3D Surface.en_US.srt 9.94 KB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/052 Visualising the Optimisation on a 3D Surface.mp4 88.19 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/053 03-Gradient-Descent.ipynb.zip 1.14 MB
    04 Introduction to Optimisation and the Gradient Descent Algorithm/053 Download the Complete Notebook Here.html 727 B
    04 Introduction to Optimisation and the Gradient Descent Algorithm/054 Any Feedback on this Section_.html 1005 B
    05 Predict House Prices with Multivariable Linear Regression/055 Course-Resources.txt 62 B
    05 Predict House Prices with Multivariable Linear Regression/055 Defining the Problem.en_US.srt 5.98 KB
    05 Predict House Prices with Multivariable Linear Regression/055 Defining the Problem.mp4 57.82 MB
    05 Predict House Prices with Multivariable Linear Regression/056 Gathering the Boston House Price Data.en_US.srt 8.03 KB
    05 Predict House Prices with Multivariable Linear Regression/056 Gathering the Boston House Price Data.mp4 91.05 MB
    05 Predict House Prices with Multivariable Linear Regression/057 Clean and Explore the Data (Part 1)_ Understand the Nature of the Dataset.en_US.srt 14.47 KB
    05 Predict House Prices with Multivariable Linear Regression/057 Clean and Explore the Data (Part 1)_ Understand the Nature of the Dataset.mp4 99.37 MB
    05 Predict House Prices with Multivariable Linear Regression/058 Clean and Explore the Data (Part 2)_ Find Missing Values.en_US.srt 17.24 KB
    05 Predict House Prices with Multivariable Linear Regression/058 Clean and Explore the Data (Part 2)_ Find Missing Values.mp4 207.91 MB
    05 Predict House Prices with Multivariable Linear Regression/059 Visualising Data (Part 1)_ Historams, Distributions & Outliers.en_US.srt 13.17 KB
    05 Predict House Prices with Multivariable Linear Regression/059 Visualising Data (Part 1)_ Historams, Distributions & Outliers.mp4 71.94 MB
    05 Predict House Prices with Multivariable Linear Regression/060 Visualising Data (Part 2)_ Seaborn and Probability Density Functions.en_US.srt 8.33 KB
    05 Predict House Prices with Multivariable Linear Regression/060 Visualising Data (Part 2)_ Seaborn and Probability Density Functions.mp4 66.18 MB
    05 Predict House Prices with Multivariable Linear Regression/061 Working with Index Data, Pandas Series, and Dummy Variables.en_US.srt 19.11 KB
    05 Predict House Prices with Multivariable Linear Regression/061 Working with Index Data, Pandas Series, and Dummy Variables.mp4 195.59 MB
    05 Predict House Prices with Multivariable Linear Regression/062 Understanding Descriptive Statistics_ the Mean vs the Median.en_US.srt 11.28 KB
    05 Predict House Prices with Multivariable Linear Regression/062 Understanding Descriptive Statistics_ the Mean vs the Median.mp4 72.5 MB
    05 Predict House Prices with Multivariable Linear Regression/063 Introduction to Correlation_ Understanding Strength & Direction.en_US.srt 7.81 KB
    05 Predict House Prices with Multivariable Linear Regression/063 Introduction to Correlation_ Understanding Strength & Direction.mp4 20.4 MB
    05 Predict House Prices with Multivariable Linear Regression/064 Calculating Correlations and the Problem posed by Multicollinearity.en_US.srt 16.46 KB
    05 Predict House Prices with Multivariable Linear Regression/064 Calculating Correlations and the Problem posed by Multicollinearity.mp4 154.88 MB
    05 Predict House Prices with Multivariable Linear Regression/065 Visualising Correlations with a Heatmap.en_US.srt 22.52 KB
    05 Predict House Prices with Multivariable Linear Regression/065 Visualising Correlations with a Heatmap.mp4 191.5 MB
    05 Predict House Prices with Multivariable Linear Regression/066 Techniques to Style Scatter Plots.en_US.srt 19.09 KB
    05 Predict House Prices with Multivariable Linear Regression/066 Techniques to Style Scatter Plots.mp4 149.97 MB
    05 Predict House Prices with Multivariable Linear Regression/067 A Note for the Next Lesson.html 961 B
    05 Predict House Prices with Multivariable Linear Regression/068 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.en_US.srt 26.52 KB
    05 Predict House Prices with Multivariable Linear Regression/068 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 334.45 MB
    05 Predict House Prices with Multivariable Linear Regression/069 Understanding Multivariable Regression.en_US.srt 6.98 KB
    05 Predict House Prices with Multivariable Linear Regression/069 Understanding Multivariable Regression.mp4 61.6 MB
    05 Predict House Prices with Multivariable Linear Regression/070 How to Shuffle and Split Training & Testing Data.en_US.srt 10.65 KB
    05 Predict House Prices with Multivariable Linear Regression/070 How to Shuffle and Split Training & Testing Data.mp4 83.32 MB
    05 Predict House Prices with Multivariable Linear Regression/071 Running a Multivariable Regression.en_US.srt 9.06 KB
    05 Predict House Prices with Multivariable Linear Regression/071 Running a Multivariable Regression.mp4 74.05 MB
    05 Predict House Prices with Multivariable Linear Regression/072 How to Calculate the Model Fit with R-Squared.en_US.srt 4.09 KB
    05 Predict House Prices with Multivariable Linear Regression/072 How to Calculate the Model Fit with R-Squared.mp4 38.56 MB
    05 Predict House Prices with Multivariable Linear Regression/073 Introduction to Model Evaluation.en_US.srt 3.53 KB
    05 Predict House Prices with Multivariable Linear Regression/073 Introduction to Model Evaluation.mp4 12.03 MB
    05 Predict House Prices with Multivariable Linear Regression/074 Improving the Model by Transforming the Data.en_US.srt 19.95 KB
    05 Predict House Prices with Multivariable Linear Regression/074 Improving the Model by Transforming the Data.mp4 142.49 MB
    05 Predict House Prices with Multivariable Linear Regression/075 How to Interpret Coefficients using p-Values and Statistical Significance.en_US.srt 10.04 KB
    05 Predict House Prices with Multivariable Linear Regression/075 How to Interpret Coefficients using p-Values and Statistical Significance.mp4 89.12 MB
    05 Predict House Prices with Multivariable Linear Regression/076 Understanding VIF & Testing for Multicollinearity.en_US.srt 23.67 KB
    05 Predict House Prices with Multivariable Linear Regression/076 Understanding VIF & Testing for Multicollinearity.mp4 164.6 MB
    05 Predict House Prices with Multivariable Linear Regression/077 Model Simplification & Baysian Information Criterion.en_US.srt 21.41 KB
    05 Predict House Prices with Multivariable Linear Regression/077 Model Simplification & Baysian Information Criterion.mp4 229.47 MB
    05 Predict House Prices with Multivariable Linear Regression/078 How to Analyse and Plot Regression Residuals.en_US.srt 13.66 KB
    05 Predict House Prices with Multivariable Linear Regression/078 How to Analyse and Plot Regression Residuals.mp4 46.63 MB
    05 Predict House Prices with Multivariable Linear Regression/079 Residual Analysis (Part 1)_ Predicted vs Actual Values.en_US.srt 16.78 KB
    05 Predict House Prices with Multivariable Linear Regression/079 Residual Analysis (Part 1)_ Predicted vs Actual Values.mp4 146.46 MB
    05 Predict House Prices with Multivariable Linear Regression/080 Residual Analysis (Part 2)_ Graphing and Comparing Regression Residuals.en_US.srt 20.96 KB
    05 Predict House Prices with Multivariable Linear Regression/080 Residual Analysis (Part 2)_ Graphing and Comparing Regression Residuals.mp4 178.21 MB
    05 Predict House Prices with Multivariable Linear Regression/081 Making Predictions (Part 1)_ MSE & R-Squared.en_US.srt 21.83 KB
    05 Predict House Prices with Multivariable Linear Regression/081 Making Predictions (Part 1)_ MSE & R-Squared.mp4 217.8 MB
    05 Predict House Prices with Multivariable Linear Regression/082 Making Predictions (Part 2)_ Standard Deviation, RMSE, and Prediction Intervals.en_US.srt 13.67 KB
    05 Predict House Prices with Multivariable Linear Regression/082 Making Predictions (Part 2)_ Standard Deviation, RMSE, and Prediction Intervals.mp4 116.49 MB
    05 Predict House Prices with Multivariable Linear Regression/083 Build a Valuation Tool (Part 1)_ Working with Pandas Series & Numpy ndarrays.en_US.srt 19.09 KB
    05 Predict House Prices with Multivariable Linear Regression/083 Build a Valuation Tool (Part 1)_ Working with Pandas Series & Numpy ndarrays.mp4 198.42 MB
    05 Predict House Prices with Multivariable Linear Regression/084 [Python] - Conditional Statements - Build a Valuation Tool (Part 2).en_US.srt 19.66 KB
    05 Predict House Prices with Multivariable Linear Regression/084 [Python] - Conditional Statements - Build a Valuation Tool (Part 2).mp4 159.88 MB
    05 Predict House Prices with Multivariable Linear Regression/085 [exercise] Python Conditional Statement Coding Exercise.zip 167 B
    05 Predict House Prices with Multivariable Linear Regression/085 [exercise_info] Python Conditional Statement Coding Exercise.html 2.54 KB
    05 Predict House Prices with Multivariable Linear Regression/085 [exercise_solution] Python Conditional Statement Coding Exercise.zip 200 B
    05 Predict House Prices with Multivariable Linear Regression/085 Build a Valuation Tool (Part 3)_ Docstrings & Creating your own Python Module.en_US.srt 26.12 KB
    05 Predict House Prices with Multivariable Linear Regression/085 Build a Valuation Tool (Part 3)_ Docstrings & Creating your own Python Module.mp4 167.92 MB
    05 Predict House Prices with Multivariable Linear Regression/086 04-Multivariable-Regression.ipynb.zip 3.54 MB
    05 Predict House Prices with Multivariable Linear Regression/086 04-Valuation-Tool.ipynb.zip 2.93 KB
    05 Predict House Prices with Multivariable Linear Regression/086 boston-valuation.py 3.05 KB
    05 Predict House Prices with Multivariable Linear Regression/086 Download the Complete Notebook Here.html 727 B
    05 Predict House Prices with Multivariable Linear Regression/087 Any Feedback on this Section_.html 997 B
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/088 Course-Resources.txt 62 B
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/088 How to Translate a Business Problem into a Machine Learning Problem.en_US.srt 8.99 KB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/088 How to Translate a Business Problem into a Machine Learning Problem.mp4 57.44 MB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/089 Gathering Email Data and Working with Archives & Text Editors.en_US.srt 13.05 KB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/089 Gathering Email Data and Working with Archives & Text Editors.mp4 186.87 MB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/089 SpamData.zip 21.28 MB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/090 How to Add the Lesson Resources to the Project.en_US.srt 4.55 KB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/090 How to Add the Lesson Resources to the Project.mp4 35.07 MB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/091 The Naive Bayes Algorithm and the Decision Boundary for a Classifier.en_US.srt 5.67 KB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/091 The Naive Bayes Algorithm and the Decision Boundary for a Classifier.mp4 57.15 MB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/092 Basic Probability.en_US.srt 4.9 KB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/092 Basic Probability.mp4 15.52 MB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/093 Joint & Conditional Probability.en_US.srt 18.34 KB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/093 Joint & Conditional Probability.mp4 169.32 MB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/094 Bayes Theorem.en_US.srt 14.02 KB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/094 Bayes Theorem.mp4 94.54 MB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/095 Reading Files (Part 1)_ Absolute Paths and Relative Paths.en_US.srt 10.9 KB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/095 Reading Files (Part 1)_ Absolute Paths and Relative Paths.mp4 71.15 MB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/096 Reading Files (Part 2)_ Stream Objects and Email Structure.en_US.srt 13.52 KB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/096 Reading Files (Part 2)_ Stream Objects and Email Structure.mp4 167.33 MB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/097 Extracting the Text in the Email Body.en_US.srt 5.54 KB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/097 Extracting the Text in the Email Body.mp4 55.23 MB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/098 [Python] - Generator Functions & the yield Keyword.en_US.srt 20.66 KB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/098 [Python] - Generator Functions & the yield Keyword.mp4 197.71 MB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/099 Create a Pandas DataFrame of Email Bodies.en_US.srt 6.67 KB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/099 Create a Pandas DataFrame of Email Bodies.mp4 67.91 MB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/100 Cleaning Data (Part 1)_ Check for Empty Emails & Null Entries.en_US.srt 16.54 KB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/100 Cleaning Data (Part 1)_ Check for Empty Emails & Null Entries.mp4 191.89 MB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/101 Cleaning Data (Part 2)_ Working with a DataFrame Index.en_US.srt 8.5 KB
    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/101 Cleaning Data (Part 2)_ Working with a DataFrame Index.mp4 84.91 MB
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    06 Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails_ Part 1/105 Introduction to Natural Language Processing (NLP).en_US.srt 7.64 KB
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    08 Test and Evaluate a Naive Bayes Classifier_ Part 3/140 The Accuracy Metric.en_US.srt 7.35 KB
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    08 Test and Evaluate a Naive Bayes Classifier_ Part 3/146 A Naive Bayes Implementation using SciKit Learn.en_US.srt 32.36 KB
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    12 Serving a Tensorflow Model through a Website/200 Calculating the Centre of Mass and Shifting the Image.en_US.srt 34.09 KB
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    12 Serving a Tensorflow Model through a Website/201 Making a Prediction from a Digit drawn on the HTML Canvas.en_US.srt 16.4 KB
    12 Serving a Tensorflow Model through a Website/201 Making a Prediction from a Digit drawn on the HTML Canvas.mp4 181.8 MB
    12 Serving a Tensorflow Model through a Website/202 Adding the Game Logic.en_US.srt 36.55 KB
    12 Serving a Tensorflow Model through a Website/202 Adding the Game Logic.mp4 286 MB
    12 Serving a Tensorflow Model through a Website/202 math-garden-stub-complete.zip 4.09 MB
    12 Serving a Tensorflow Model through a Website/203 Publish and Share your Website!.en_US.srt 9.14 KB
    12 Serving a Tensorflow Model through a Website/203 Publish and Share your Website!.mp4 59.48 MB
    12 Serving a Tensorflow Model through a Website/204 Any Feedback on this Section_.html 985 B
    13 Next Steps/205 Where next_.html 4.56 KB
    13 Next Steps/206 What Modules Do You Want to See_.html 916 B
    13 Next Steps/207 Stay in Touch!.html 1.52 KB

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