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| [CourseClub.Me].url |
122б |
| [CourseClub.Me].url |
122б |
| [FreeCourseSite.com].url |
127б |
| [FreeCourseSite.com].url |
127б |
| [GigaCourse.Com].url |
49б |
| [GigaCourse.Com].url |
49б |
| 001 Defining the Problem_en.vtt |
5.61Кб |
| 001 Defining the Problem.mp4 |
30.02Мб |
| 001 How to Translate a Business Problem into a Machine Learning Problem_en.vtt |
8.46Кб |
| 001 How to Translate a Business Problem into a Machine Learning Problem.mp4 |
31.01Мб |
| 001 Introduction to Linear Regression & Specifying the Problem_en.vtt |
7.58Кб |
| 001 Introduction to Linear Regression & Specifying the Problem.mp4 |
26.51Мб |
| 001 Setting up the Notebook and Understanding Delimiters in a Dataset_en.vtt |
9.80Кб |
| 001 Setting up the Notebook and Understanding Delimiters in a Dataset.mp4 |
53.98Мб |
| 001 Set up the Testing Notebook_en.vtt |
3.34Кб |
| 001 Set up the Testing Notebook.mp4 |
19.97Мб |
| 001 Solving a Business Problem with Image Classification_en.vtt |
4.49Кб |
| 001 Solving a Business Problem with Image Classification.mp4 |
19.47Мб |
| 001 The Human Brain and the Inspiration for Artificial Neural Networks_en.vtt |
9.96Кб |
| 001 The Human Brain and the Inspiration for Artificial Neural Networks.mp4 |
32.71Мб |
| 001 What's coming up_en.vtt |
2.32Кб |
| 001 What's Coming Up_en.vtt |
3.36Кб |
| 001 What's coming up.mp4 |
5.23Мб |
| 001 What's Coming Up.mp4 |
12.92Мб |
| 001 What is Machine Learning_en.vtt |
6.02Кб |
| 001 What is Machine Learning.mp4 |
40.37Мб |
| 001 What you'll make_en.vtt |
8.73Кб |
| 001 What you'll make.mp4 |
35.52Мб |
| 001 Where next.html |
3.90Кб |
| 001 Windows Users - Install Anaconda_en.vtt |
7.72Кб |
| 001 Windows Users - Install Anaconda.mp4 |
32.19Мб |
| 002 Create a Full Matrix_en.vtt |
19.11Кб |
| 002 Create a Full Matrix.mp4 |
104.85Мб |
| 002 Gather & Clean the Data_en.vtt |
12.20Кб |
| 002 Gather & Clean the Data.mp4 |
40.86Мб |
| 002 Gathering Email Data and Working with Archives & Text Editors_en.vtt |
12.26Кб |
| 002 Gathering Email Data and Working with Archives & Text Editors.mp4 |
95.99Мб |
| 002 Gathering the Boston House Price Data_en.vtt |
7.55Кб |
| 002 Gathering the Boston House Price Data.mp4 |
47.58Мб |
| 002 Getting the Data and Loading it into Numpy Arrays_en.vtt |
8.19Кб |
| 002 Getting the Data and Loading it into Numpy Arrays.mp4 |
39.66Мб |
| 002 How a Machine Learns_en.vtt |
6.32Кб |
| 002 How a Machine Learns.mp4 |
10.47Мб |
| 002 Installing Tensorflow and Keras for Jupyter_en.vtt |
5.90Кб |
| 002 Installing Tensorflow and Keras for Jupyter.mp4 |
31.92Мб |
| 002 Joint Conditional Probability (Part 1) Dot Product_en.vtt |
11.06Кб |
| 002 Joint Conditional Probability (Part 1) Dot Product.mp4 |
47.03Мб |
| 002 Layers, Feature Generation and Learning_en.vtt |
24.61Кб |
| 002 Layers, Feature Generation and Learning.mp4 |
124.35Мб |
| 002 Mac Users - Install Anaconda_en.vtt |
7.07Кб |
| 002 Mac Users - Install Anaconda.mp4 |
39.12Мб |
| 002 Saving Tensorflow Models_en.vtt |
19.00Кб |
| 002 Saving Tensorflow Models.mp4 |
103.67Мб |
| 002 What is Data Science_en.vtt |
5.04Кб |
| 002 What is Data Science.mp4 |
39.83Мб |
| 002 What Modules Do You Want to See.html |
431б |
| 003 Clean and Explore the Data (Part 1) Understand the Nature of the Dataset_en.vtt |
13.66Кб |
| 003 Clean and Explore the Data (Part 1) Understand the Nature of the Dataset.mp4 |
56.73Мб |
| 003 Costs and Disadvantages of Neural Networks_en.vtt |
16.96Кб |
| 003 Costs and Disadvantages of Neural Networks.mp4 |
76.56Мб |
| 003 Count the Tokens to Train the Naive Bayes Model_en.vtt |
16.19Кб |
| 003 Count the Tokens to Train the Naive Bayes Model.mp4 |
63.64Мб |
| 003 Data Exploration and Understanding the Structure of the Input Data_en.vtt |
5.73Кб |
| 003 Data Exploration and Understanding the Structure of the Input Data.mp4 |
20.60Мб |
| 003 Does LSD Make You Better at Maths_en.vtt |
6.42Кб |
| 003 Does LSD Make You Better at Maths.mp4 |
15.63Мб |
| 003 Download the Syllabus.html |
994б |
| 003 Explore & Visualise the Data with Python_en.vtt |
26.99Кб |
| 003 Explore & Visualise the Data with Python.mp4 |
105.12Мб |
| 003 Gathering the CIFAR 10 Dataset_en.vtt |
5.48Кб |
| 003 Gathering the CIFAR 10 Dataset.mp4 |
20.60Мб |
| 003 How to Add the Lesson Resources to the Project_en.vtt |
4.24Кб |
| 003 How to Add the Lesson Resources to the Project.mp4 |
18.95Мб |
| 003 Introduction to Cost Functions_en.vtt |
8.19Кб |
| 003 Introduction to Cost Functions.mp4 |
39.02Мб |
| 003 Joint Conditional Probablity (Part 2) Priors_en.vtt |
9.53Кб |
| 003 Joint Conditional Probablity (Part 2) Priors.mp4 |
45.80Мб |
| 003 Loading a SavedModel_en.vtt |
23.15Кб |
| 003 Loading a SavedModel.mp4 |
85.10Мб |
| 003 Stay in Touch!.html |
1.05Кб |
| 004 Clean and Explore the Data (Part 2) Find Missing Values_en.vtt |
16.27Кб |
| 004 Clean and Explore the Data (Part 2) Find Missing Values.mp4 |
107.48Мб |
| 004 Converting a Model to Tensorflow.js_en.vtt |
18.79Кб |
| 004 Converting a Model to Tensorflow.js.mp4 |
93.61Мб |
| 004 Data Preprocessing One-Hot Encoding and Creating the Validation Dataset_en.vtt |
11.48Кб |
| 004 Data Preprocessing One-Hot Encoding and Creating the Validation Dataset.mp4 |
49.34Мб |
| 004 Download the 12 Rules to Learn to Code.html |
1.12Кб |
| 004 Exploring the CIFAR Data_en.vtt |
16.11Кб |
| 004 Exploring the CIFAR Data.mp4 |
81.16Мб |
| 004 LaTeX Markdown and Generating Data with Numpy_en.vtt |
14.82Кб |
| 004 LaTeX Markdown and Generating Data with Numpy.mp4 |
47.01Мб |
| 004 Making Predictions Comparing Joint Probabilities_en.vtt |
8.78Кб |
| 004 Making Predictions Comparing Joint Probabilities.mp4 |
37.12Мб |
| 004 Preprocessing Image Data and How RGB Works_en.vtt |
14.37Кб |
| 004 Preprocessing Image Data and How RGB Works.mp4 |
69.24Мб |
| 004 Sum the Tokens across the Spam and Ham Subsets_en.vtt |
6.89Кб |
| 004 Sum the Tokens across the Spam and Ham Subsets.mp4 |
24.37Мб |
| 004 The Intuition behind the Linear Regression Model_en.vtt |
9.45Кб |
| 004 The Intuition behind the Linear Regression Model.mp4 |
12.86Мб |
| 004 The Naive Bayes Algorithm and the Decision Boundary for a Classifier_en.vtt |
5.36Кб |
| 004 The Naive Bayes Algorithm and the Decision Boundary for a Classifier.mp4 |
29.41Мб |
| 004 Top Tips for Succeeding on this Course.html |
2.06Кб |
| 005 [Python] - Variables and Types_en.vtt |
14.49Кб |
| 005 [Python] - Variables and Types.mp4 |
47.55Мб |
| 005 Analyse and Evaluate the Results_en.vtt |
19.58Кб |
| 005 Analyse and Evaluate the Results.mp4 |
75.46Мб |
| 005 Basic Probability_en.vtt |
4.62Кб |
| 005 Basic Probability.mp4 |
9.40Мб |
| 005 Calculate the Token Probabilities and Save the Trained Model_en.vtt |
8.26Кб |
| 005 Calculate the Token Probabilities and Save the Trained Model.mp4 |
35.29Мб |
| 005 Course Resources List.html |
1.12Кб |
| 005 Importing Keras Models and the Tensorflow Graph_en.vtt |
10.32Кб |
| 005 Importing Keras Models and the Tensorflow Graph.mp4 |
49.24Мб |
| 005 Introducing the Website Project and Tooling_en.vtt |
15.68Кб |
| 005 Introducing the Website Project and Tooling.mp4 |
68.79Мб |
| 005 Pre-processing Scaling Inputs and Creating a Validation Dataset_en.vtt |
17.80Кб |
| 005 Pre-processing Scaling Inputs and Creating a Validation Dataset.mp4 |
61.32Мб |
| 005 The Accuracy Metric_en.vtt |
6.68Кб |
| 005 The Accuracy Metric.mp4 |
28.66Мб |
| 005 Understanding the Power Rule & Creating Charts with Subplots_en.vtt |
15.59Кб |
| 005 Understanding the Power Rule & Creating Charts with Subplots.mp4 |
59.49Мб |
| 005 Visualising Data (Part 1) Historams, Distributions & Outliers_en.vtt |
12.39Кб |
| 005 Visualising Data (Part 1) Historams, Distributions & Outliers.mp4 |
42.62Мб |
| 005 What is a Tensor_en.vtt |
8.18Кб |
| 005 What is a Tensor.mp4 |
37.85Мб |
| 006 [Python] - Lists and Arrays_en.vtt |
10.55Кб |
| 006 [Python] - Lists and Arrays.mp4 |
35.09Мб |
| 006 [Python] - Loops and the Gradient Descent Algorithm_en.vtt |
37.63Кб |
| 006 [Python] - Loops and the Gradient Descent Algorithm.mp4 |
92.92Мб |
| 006 Coding Challenge Prepare the Test Data_en.vtt |
4.57Кб |
| 006 Coding Challenge Prepare the Test Data.mp4 |
28.62Мб |
| 006 Compiling a Keras Model and Understanding the Cross Entropy Loss Function_en.vtt |
16.58Кб |
| 006 Compiling a Keras Model and Understanding the Cross Entropy Loss Function.mp4 |
76.04Мб |
| 006 Creating Tensors and Setting up the Neural Network Architecture_en.vtt |
26.20Кб |
| 006 Creating Tensors and Setting up the Neural Network Architecture.mp4 |
110.62Мб |
| 006 Download the Complete Notebook Here.html |
242б |
| 006 HTML and CSS Styling_en.vtt |
33.85Кб |
| 006 HTML and CSS Styling.mp4 |
136.76Мб |
| 006 Joint & Conditional Probability_en.vtt |
17.25Кб |
| 006 Joint & Conditional Probability.mp4 |
88.31Мб |
| 006 Making Predictions using InceptionResNet_en.vtt |
17.08Кб |
| 006 Making Predictions using InceptionResNet.mp4 |
103.20Мб |
| 006 Visualising Data (Part 2) Seaborn and Probability Density Functions_en.vtt |
7.84Кб |
| 006 Visualising Data (Part 2) Seaborn and Probability Density Functions.mp4 |
37.60Мб |
| 006 Visualising the Decision Boundary_en.vtt |
30.30Кб |
| 006 Visualising the Decision Boundary.mp4 |
149.45Мб |
| 007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1)_en.vtt |
37.23Кб |
| 007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 |
229.50Мб |
| 007 [Python & Pandas] - Dataframes and Series_en.vtt |
24.43Кб |
| 007 [Python & Pandas] - Dataframes and Series.mp4 |
101.40Мб |
| 007 Bayes Theorem_en.vtt |
13.19Кб |
| 007 Bayes Theorem.mp4 |
51.07Мб |
| 007 Coding Challenge Solution Using other Keras Models_en.vtt |
11.83Кб |
| 007 Coding Challenge Solution Using other Keras Models.mp4 |
81.98Мб |
| 007 Defining the Cross Entropy Loss Function, the Optimizer and the Metrics_en.vtt |
12.68Кб |
| 007 Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.mp4 |
49.63Мб |
| 007 Download the Complete Notebook Here.html |
242б |
| 007 False Positive vs False Negatives_en.vtt |
11.47Кб |
| 007 False Positive vs False Negatives.mp4 |
41.39Мб |
| 007 Interacting with the Operating System and the Python Try-Catch Block_en.vtt |
21.52Кб |
| 007 Interacting with the Operating System and the Python Try-Catch Block.mp4 |
45.79Мб |
| 007 Join the Student Community.html |
715б |
| 007 Loading a Tensorflow.js Model and Starting your own Server_en.vtt |
33.67Кб |
| 007 Loading a Tensorflow.js Model and Starting your own Server.mp4 |
175.41Мб |
| 007 Working with Index Data, Pandas Series, and Dummy Variables_en.vtt |
17.97Кб |
| 007 Working with Index Data, Pandas Series, and Dummy Variables.mp4 |
103.76Мб |
| 008 [Python] - Module Imports_en.vtt |
31.45Кб |
| 008 [Python] - Module Imports.mp4 |
186.86Мб |
| 008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2)_en.vtt |
29.03Кб |
| 008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 |
145.22Мб |
| 008 Adding a Favicon_en.vtt |
6.50Кб |
| 008 Adding a Favicon.mp4 |
24.34Мб |
| 008 Any Feedback on this Section.html |
512б |
| 008 Any Feedback on this Section.html |
527б |
| 008 Download the Complete Notebook Here.html |
264б |
| 008 Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems_en.vtt |
12.76Кб |
| 008 Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.mp4 |
76.55Мб |
| 008 Reading Files (Part 1) Absolute Paths and Relative Paths_en.vtt |
10.29Кб |
| 008 Reading Files (Part 1) Absolute Paths and Relative Paths.mp4 |
39.54Мб |
| 008 TensorFlow Sessions and Batching Data_en.vtt |
18.27Кб |
| 008 TensorFlow Sessions and Batching Data.mp4 |
73.63Мб |
| 008 The Recall Metric_en.vtt |
5.76Кб |
| 008 The Recall Metric.mp4 |
18.41Мб |
| 008 Understanding Descriptive Statistics the Mean vs the Median_en.vtt |
10.64Кб |
| 008 Understanding Descriptive Statistics the Mean vs the Median.mp4 |
41.03Мб |
| 009 [Python] - Functions - Part 1 Defining and Calling Functions_en.vtt |
9.15Кб |
| 009 [Python] - Functions - Part 1 Defining and Calling Functions.mp4 |
27.38Мб |
| 009 Any Feedback on this Section.html |
526б |
| 009 Introduction to Correlation Understanding Strength & Direction_en.vtt |
7.37Кб |
| 009 Introduction to Correlation Understanding Strength & Direction.mp4 |
12.92Мб |
| 009 Reading Files (Part 2) Stream Objects and Email Structure_en.vtt |
12.75Кб |
| 009 Reading Files (Part 2) Stream Objects and Email Structure.mp4 |
87.76Мб |
| 009 Styling an HTML Canvas_en.vtt |
35.37Кб |
| 009 Styling an HTML Canvas.mp4 |
172.69Мб |
| 009 Tensorboard Summaries and the Filewriter_en.vtt |
21.25Кб |
| 009 Tensorboard Summaries and the Filewriter.mp4 |
98.73Мб |
| 009 The Precision Metric_en.vtt |
8.42Кб |
| 009 The Precision Metric.mp4 |
34.47Мб |
| 009 Understanding the Learning Rate_en.vtt |
32.56Кб |
| 009 Understanding the Learning Rate.mp4 |
190.14Мб |
| 009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques_en.vtt |
25.08Кб |
| 009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 |
152.54Мб |
| 010 [Python] - Functions - Part 2 Arguments & Parameters_en.vtt |
18.18Кб |
| 010 [Python] - Functions - Part 2 Arguments & Parameters.mp4 |
99.44Мб |
| 010 Calculating Correlations and the Problem posed by Multicollinearity_en.vtt |
15.48Кб |
| 010 Calculating Correlations and the Problem posed by Multicollinearity.mp4 |
82.51Мб |
| 010 Drawing on an HTML Canvas_en.vtt |
33.21Кб |
| 010 Drawing on an HTML Canvas.mp4 |
159.28Мб |
| 010 Extracting the Text in the Email Body_en.vtt |
5.19Кб |
| 010 Extracting the Text in the Email Body.mp4 |
30.49Мб |
| 010 How to Create 3-Dimensional Charts_en.vtt |
22.61Кб |
| 010 How to Create 3-Dimensional Charts.mp4 |
152.02Мб |
| 010 The F-score or F1 Metric_en.vtt |
4.47Кб |
| 010 The F-score or F1 Metric.mp4 |
16.46Мб |
| 010 Understanding the Tensorflow Graph Nodes and Edges_en.vtt |
18.52Кб |
| 010 Understanding the Tensorflow Graph Nodes and Edges.mp4 |
89.48Мб |
| 010 Use the Model to Make Predictions_en.vtt |
30.18Кб |
| 010 Use the Model to Make Predictions.mp4 |
173.85Мб |
| 011 [Python] - Functions - Part 3 Results & Return Values_en.vtt |
14.46Кб |
| 011 [Python] - Functions - Part 3 Results & Return Values.mp4 |
54.13Мб |
| 011 [Python] - Generator Functions & the yield Keyword_en.vtt |
19.48Кб |
| 011 [Python] - Generator Functions & the yield Keyword.mp4 |
104.22Мб |
| 011 A Naive Bayes Implementation using SciKit Learn_en.vtt |
29.27Кб |
| 011 A Naive Bayes Implementation using SciKit Learn.mp4 |
145.69Мб |
| 011 Data Pre-Processing for Tensorflow.js_en.vtt |
10.73Кб |
| 011 Data Pre-Processing for Tensorflow.js.mp4 |
25.56Мб |
| 011 Model Evaluation and the Confusion Matrix_en.vtt |
9.60Кб |
| 011 Model Evaluation and the Confusion Matrix.mp4 |
40.05Мб |
| 011 Name Scoping and Image Visualisation in Tensorboard_en.vtt |
23.85Кб |
| 011 Name Scoping and Image Visualisation in Tensorboard.mp4 |
66.81Мб |
| 011 Understanding Partial Derivatives and How to use SymPy_en.vtt |
17.62Кб |
| 011 Understanding Partial Derivatives and How to use SymPy.mp4 |
102.67Мб |
| 011 Visualising Correlations with a Heatmap_en.vtt |
21.22Кб |
| 011 Visualising Correlations with a Heatmap.mp4 |
108.43Мб |
| 012 [Python] - Objects - Understanding Attributes and Methods_en.vtt |
25.93Кб |
| 012 [Python] - Objects - Understanding Attributes and Methods.mp4 |
125.35Мб |
| 012 Create a Pandas DataFrame of Email Bodies_en.vtt |
6.24Кб |
| 012 Create a Pandas DataFrame of Email Bodies.mp4 |
37.37Мб |
| 012 Different Model Architectures Experimenting with Dropout_en.vtt |
27.03Кб |
| 012 Different Model Architectures Experimenting with Dropout.mp4 |
173.82Мб |
| 012 Download the Complete Notebook Here.html |
242б |
| 012 Implementing Batch Gradient Descent with SymPy_en.vtt |
11.26Кб |
| 012 Implementing Batch Gradient Descent with SymPy.mp4 |
65.49Мб |
| 012 Introduction to OpenCV_en.vtt |
34.43Кб |
| 012 Introduction to OpenCV.mp4 |
133.24Мб |
| 012 Model Evaluation and the Confusion Matrix_en.vtt |
35.46Кб |
| 012 Model Evaluation and the Confusion Matrix.mp4 |
193.26Мб |
| 012 Techniques to Style Scatter Plots_en.vtt |
18.04Кб |
| 012 Techniques to Style Scatter Plots.mp4 |
83.87Мб |
| 013 [Python] - Loops and Performance Considerations_en.vtt |
15.67Кб |
| 013 [Python] - Loops and Performance Considerations.mp4 |
106.59Мб |
| 013 A Note for the Next Lesson.html |
476б |
| 013 Any Feedback on this Section.html |
509б |
| 013 Cleaning Data (Part 1) Check for Empty Emails & Null Entries_en.vtt |
15.52Кб |
| 013 Cleaning Data (Part 1) Check for Empty Emails & Null Entries.mp4 |
90.33Мб |
| 013 Download the Complete Notebook Here.html |
242б |
| 013 How to Make Sense of Python Documentation for Data Visualisation_en.vtt |
23.06Кб |
| 013 How to Make Sense of Python Documentation for Data Visualisation.mp4 |
138.12Мб |
| 013 Prediction and Model Evaluation_en.vtt |
16.75Кб |
| 013 Prediction and Model Evaluation.mp4 |
87.34Мб |
| 013 Resizing and Adding Padding to Images_en.vtt |
24.19Кб |
| 013 Resizing and Adding Padding to Images.mp4 |
147.83Мб |
| 014 Any Feedback on this Section.html |
521б |
| 014 Calculating the Centre of Mass and Shifting the Image_en.vtt |
32.10Кб |
| 014 Calculating the Centre of Mass and Shifting the Image.mp4 |
210.44Мб |
| 014 Cleaning Data (Part 2) Working with a DataFrame Index_en.vtt |
7.95Кб |
| 014 Cleaning Data (Part 2) Working with a DataFrame Index.mp4 |
46.50Мб |
| 014 Download the Complete Notebook Here.html |
242б |
| 014 Reshaping and Slicing N-Dimensional Arrays_en.vtt |
19.97Кб |
| 014 Reshaping and Slicing N-Dimensional Arrays.mp4 |
95.11Мб |
| 014 Working with Python Objects to Analyse Data_en.vtt |
23.55Кб |
| 014 Working with Python Objects to Analyse Data.mp4 |
135.45Мб |
| 014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques_en.vtt |
25.00Кб |
| 014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 |
175.24Мб |
| 015 [Python] - Tips, Code Style and Naming Conventions_en.vtt |
14.66Кб |
| 015 [Python] - Tips, Code Style and Naming Conventions.mp4 |
67.18Мб |
| 015 Any Feedback on this Section.html |
499б |
| 015 Concatenating Numpy Arrays_en.vtt |
7.80Кб |
| 015 Concatenating Numpy Arrays.mp4 |
32.48Мб |
| 015 Making a Prediction from a Digit drawn on the HTML Canvas_en.vtt |
15.37Кб |
| 015 Making a Prediction from a Digit drawn on the HTML Canvas.mp4 |
98.46Мб |
| 015 Saving a JSON File with Pandas_en.vtt |
6.09Кб |
| 015 Saving a JSON File with Pandas.mp4 |
43.41Мб |
| 015 Understanding Multivariable Regression_en.vtt |
6.57Кб |
| 015 Understanding Multivariable Regression.mp4 |
31.51Мб |
| 016 Adding the Game Logic_en.vtt |
33.58Кб |
| 016 Adding the Game Logic.mp4 |
158.22Мб |
| 016 Data Visualisation (Part 1) Pie Charts_en.vtt |
14.02Кб |
| 016 Data Visualisation (Part 1) Pie Charts.mp4 |
70.09Мб |
| 016 Download the Complete Notebook Here.html |
242б |
| 016 How to Shuffle and Split Training & Testing Data_en.vtt |
9.99Кб |
| 016 How to Shuffle and Split Training & Testing Data.mp4 |
45.09Мб |
| 016 Introduction to the Mean Squared Error (MSE)_en.vtt |
11.02Кб |
| 016 Introduction to the Mean Squared Error (MSE).mp4 |
43.24Мб |
| 017 Any Feedback on this Section.html |
513б |
| 017 Data Visualisation (Part 2) Donut Charts_en.vtt |
8.31Кб |
| 017 Data Visualisation (Part 2) Donut Charts.mp4 |
40.95Мб |
| 017 Publish and Share your Website!_en.vtt |
8.19Кб |
| 017 Publish and Share your Website!.mp4 |
33.31Мб |
| 017 Running a Multivariable Regression_en.vtt |
8.53Кб |
| 017 Running a Multivariable Regression.mp4 |
40.20Мб |
| 017 Transposing and Reshaping Arrays_en.vtt |
11.69Кб |
| 017 Transposing and Reshaping Arrays.mp4 |
58.02Мб |
| 018 Any Feedback on this Section.html |
500б |
| 018 How to Calculate the Model Fit with R-Squared_en.vtt |
3.84Кб |
| 018 How to Calculate the Model Fit with R-Squared.mp4 |
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