Download Complete 2022 Data Science & Machine Learning Bootcamp Torrent

Torrent Contents Size: 12.53 GB

Complete 2022 Data Science & Machine Learning Bootcamp

01 - Introduction to the Course

001 What is Machine Learning.mp4	MP4	40.37 MB
001 What is Machine Learning_en.vtt	VTT	6.02 KB
002 What is Data Science.mp4	MP4	39.83 MB
002 What is Data Science_en.vtt	VTT	5.04 KB
003 Download the Syllabus.html	HTML	994 B
004 Top Tips for Succeeding on this Course.html	HTML	2.06 KB
005 Course Resources List.html	HTML	1.12 KB
18162714-ML-Data-Science-Syllabus.pdf	PDF	103.97 KB
external-assets-links.txt	TXT	120 B

02 - Predict Movie Box Office Revenue with Linear Regression

001 Introduction to Linear Regression & Specifying the Problem.mp4	MP4	26.51 MB
001 Introduction to Linear Regression & Specifying the Problem_en.vtt	VTT	7.58 KB
002 Gather & Clean the Data.mp4	MP4	40.86 MB
002 Gather & Clean the Data_en.vtt	VTT	12.2 KB
003 Explore & Visualise the Data with Python.mp4	MP4	105.12 MB
003 Explore & Visualise the Data with Python_en.vtt	VTT	26.99 KB
004 The Intuition behind the Linear Regression Model.mp4	MP4	12.86 MB
004 The Intuition behind the Linear Regression Model_en.vtt	VTT	9.45 KB
005 Analyse and Evaluate the Results.mp4	MP4	75.46 MB
005 Analyse and Evaluate the Results_en.vtt	VTT	19.58 KB
006 Download the Complete Notebook Here.html	HTML	242 B
007 Join the Student Community.html	HTML	715 B
008 Any Feedback on this Section.html	HTML	512 B
18175084-01-Linear-Regression-checkpoint.ipynb.zip	ZIP	37.64 KB
18175146-01-Linear-Regression-complete.ipynb.zip	ZIP	75.28 KB
9246634-cost-revenue-dirty.csv	CSV	374.68 KB
9249290-cost-revenue-clean.csv	CSV	90.82 KB
external-assets-links.txt	TXT	212 B

03 - Python Programming for Data Science and Machine Learning

001 Windows Users - Install Anaconda.mp4	MP4	32.19 MB
001 Windows Users - Install Anaconda_en.vtt	VTT	7.72 KB
002 Mac Users - Install Anaconda.mp4	MP4	39.12 MB
002 Mac Users - Install Anaconda_en.vtt	VTT	7.07 KB
003 Does LSD Make You Better at Maths.mp4	MP4	15.63 MB
003 Does LSD Make You Better at Maths_en.vtt	VTT	6.42 KB
004 Download the 12 Rules to Learn to Code.html	HTML	1.12 KB
005 [Python] - Variables and Types.mp4	MP4	47.55 MB
005 [Python] - Variables and Types_en.vtt	VTT	14.49 KB
006 [Python] - Lists and Arrays.mp4	MP4	35.09 MB
006 [Python] - Lists and Arrays_en.vtt	VTT	10.55 KB
007 [Python & Pandas] - Dataframes and Series.mp4	MP4	101.4 MB
007 [Python & Pandas] - Dataframes and Series_en.vtt	VTT	24.43 KB
008 [Python] - Module Imports.mp4	MP4	186.86 MB
008 [Python] - Module Imports_en.vtt	VTT	31.45 KB
009 [Python] - Functions - Part 1 Defining and Calling Functions.mp4	MP4	27.38 MB
009 [Python] - Functions - Part 1 Defining and Calling Functions_en.vtt	VTT	9.15 KB
010 [Python] - Functions - Part 2 Arguments & Parameters.mp4	MP4	99.44 MB
010 [Python] - Functions - Part 2 Arguments & Parameters_en.vtt	VTT	18.18 KB
011 [Python] - Functions - Part 3 Results & Return Values.mp4	MP4	54.13 MB
011 [Python] - Functions - Part 3 Results & Return Values_en.vtt	VTT	14.46 KB
012 [Python] - Objects - Understanding Attributes and Methods.mp4	MP4	125.35 MB
012 [Python] - Objects - Understanding Attributes and Methods_en.vtt	VTT	25.93 KB
013 How to Make Sense of Python Documentation for Data Visualisation.mp4	MP4	138.12 MB
013 How to Make Sense of Python Documentation for Data Visualisation_en.vtt	VTT	23.06 KB
014 Working with Python Objects to Analyse Data.mp4	MP4	135.45 MB
014 Working with Python Objects to Analyse Data_en.vtt	VTT	23.55 KB
015 [Python] - Tips, Code Style and Naming Conventions.mp4	MP4	67.18 MB
015 [Python] - Tips, Code Style and Naming Conventions_en.vtt	VTT	14.66 KB
016 Download the Complete Notebook Here.html	HTML	242 B
017 Any Feedback on this Section.html	HTML	513 B
18179882-02-Python-Intro.ipynb.zip	ZIP	36.44 KB
18204473-12-Rules-to-Learn-to-Code.pdf	PDF	2.25 MB
18877814-lsd-math-score-data.csv	CSV	155 B
GetFreeCourses.Co.url	URL	116 B
external-assets-links.txt	TXT	83 B

04 - Introduction to Optimisation and the Gradient Descent Algorithm

001 What's Coming Up.mp4	MP4	12.92 MB
001 What's Coming Up_en.vtt	VTT	3.36 KB
002 How a Machine Learns.mp4	MP4	10.47 MB
002 How a Machine Learns_en.vtt	VTT	6.32 KB
003 Introduction to Cost Functions.mp4	MP4	39.02 MB
003 Introduction to Cost Functions_en.vtt	VTT	8.19 KB
004 LaTeX Markdown and Generating Data with Numpy.mp4	MP4	47.01 MB
004 LaTeX Markdown and Generating Data with Numpy_en.vtt	VTT	14.82 KB
005 Understanding the Power Rule & Creating Charts with Subplots.mp4	MP4	59.49 MB
005 Understanding the Power Rule & Creating Charts with Subplots_en.vtt	VTT	15.59 KB
006 [Python] - Loops and the Gradient Descent Algorithm.mp4	MP4	92.92 MB
006 [Python] - Loops and the Gradient Descent Algorithm_en.vtt	VTT	37.63 KB
007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4	MP4	229.5 MB
007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1)_en.vtt	VTT	37.23 KB
008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4	MP4	145.22 MB
008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2)_en.vtt	VTT	29.03 KB
009 Understanding the Learning Rate.mp4	MP4	190.14 MB
009 Understanding the Learning Rate_en.vtt	VTT	32.56 KB
010 How to Create 3-Dimensional Charts.mp4	MP4	152.02 MB
010 How to Create 3-Dimensional Charts_en.vtt	VTT	22.61 KB
011 Understanding Partial Derivatives and How to use SymPy.mp4	MP4	102.67 MB
011 Understanding Partial Derivatives and How to use SymPy_en.vtt	VTT	17.62 KB
012 Implementing Batch Gradient Descent with SymPy.mp4	MP4	65.49 MB
012 Implementing Batch Gradient Descent with SymPy_en.vtt	VTT	11.26 KB
013 [Python] - Loops and Performance Considerations.mp4	MP4	106.59 MB
013 [Python] - Loops and Performance Considerations_en.vtt	VTT	15.67 KB
014 Reshaping and Slicing N-Dimensional Arrays.mp4	MP4	95.11 MB
014 Reshaping and Slicing N-Dimensional Arrays_en.vtt	VTT	19.97 KB
015 Concatenating Numpy Arrays.mp4	MP4	32.48 MB
015 Concatenating Numpy Arrays_en.vtt	VTT	7.8 KB
016 Introduction to the Mean Squared Error (MSE).mp4	MP4	43.24 MB
016 Introduction to the Mean Squared Error (MSE)_en.vtt	VTT	11.02 KB
017 Transposing and Reshaping Arrays.mp4	MP4	58.02 MB
017 Transposing and Reshaping Arrays_en.vtt	VTT	11.69 KB
018 Implementing a MSE Cost Function.mp4	MP4	54.55 MB
018 Implementing a MSE Cost Function_en.vtt	VTT	11.74 KB
019 Understanding Nested Loops and Plotting the MSE Function (Part 1).mp4	MP4	48.88 MB
019 Understanding Nested Loops and Plotting the MSE Function (Part 1)_en.vtt	VTT	12.12 KB
020 Plotting the Mean Squared Error (MSE) on a Surface (Part 2).mp4	MP4	96.91 MB
020 Plotting the Mean Squared Error (MSE) on a Surface (Part 2)_en.vtt	VTT	14.98 KB
021 Running Gradient Descent with a MSE Cost Function.mp4	MP4	74.32 MB
021 Running Gradient Descent with a MSE Cost Function_en.vtt	VTT	19.24 KB
022 Visualising the Optimisation on a 3D Surface.mp4	MP4	35.61 MB
022 Visualising the Optimisation on a 3D Surface_en.vtt	VTT	9.35 KB
023 Download the Complete Notebook Here.html	HTML	242 B
024 Any Feedback on this Section.html	HTML	520 B
18179908-03-Gradient-Descent.ipynb.zip	ZIP	1.14 MB
external-assets-links.txt	TXT	83 B

05 - Predict House Prices with Multivariable Linear Regression

001 Defining the Problem.mp4	MP4	30.02 MB
001 Defining the Problem_en.vtt	VTT	5.61 KB
002 Gathering the Boston House Price Data.mp4	MP4	47.58 MB
002 Gathering the Boston House Price Data_en.vtt	VTT	7.55 KB
003 Clean and Explore the Data (Part 1) Understand the Nature of the Dataset.mp4	MP4	56.73 MB
003 Clean and Explore the Data (Part 1) Understand the Nature of the Dataset_en.vtt	VTT	13.66 KB
004 Clean and Explore the Data (Part 2) Find Missing Values.mp4	MP4	107.48 MB
004 Clean and Explore the Data (Part 2) Find Missing Values_en.vtt	VTT	16.27 KB
005 Visualising Data (Part 1) Historams, Distributions & Outliers.mp4	MP4	42.62 MB
005 Visualising Data (Part 1) Historams, Distributions & Outliers_en.vtt	VTT	12.39 KB
006 Visualising Data (Part 2) Seaborn and Probability Density Functions.mp4	MP4	37.6 MB
006 Visualising Data (Part 2) Seaborn and Probability Density Functions_en.vtt	VTT	7.84 KB
007 Working with Index Data, Pandas Series, and Dummy Variables.mp4	MP4	103.76 MB
007 Working with Index Data, Pandas Series, and Dummy Variables_en.vtt	VTT	17.97 KB
008 Understanding Descriptive Statistics the Mean vs the Median.mp4	MP4	41.03 MB
008 Understanding Descriptive Statistics the Mean vs the Median_en.vtt	VTT	10.64 KB
009 Introduction to Correlation Understanding Strength & Direction.mp4	MP4	12.92 MB
009 Introduction to Correlation Understanding Strength & Direction_en.vtt	VTT	7.37 KB
010 Calculating Correlations and the Problem posed by Multicollinearity.mp4	MP4	82.51 MB
010 Calculating Correlations and the Problem posed by Multicollinearity_en.vtt	VTT	15.48 KB
011 Visualising Correlations with a Heatmap.mp4	MP4	108.43 MB
011 Visualising Correlations with a Heatmap_en.vtt	VTT	21.22 KB
012 Techniques to Style Scatter Plots.mp4	MP4	83.87 MB
012 Techniques to Style Scatter Plots_en.vtt	VTT	18.04 KB
013 A Note for the Next Lesson.html	HTML	476 B
014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4	MP4	175.24 MB
014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques_en.vtt	VTT	25 KB
015 Understanding Multivariable Regression.mp4	MP4	31.51 MB
015 Understanding Multivariable Regression_en.vtt	VTT	6.57 KB
016 How to Shuffle and Split Training & Testing Data.mp4	MP4	45.09 MB
016 How to Shuffle and Split Training & Testing Data_en.vtt	VTT	9.99 KB
017 Running a Multivariable Regression.mp4	MP4	40.2 MB
017 Running a Multivariable Regression_en.vtt	VTT	8.53 KB
018 How to Calculate the Model Fit with R-Squared.mp4	MP4	21.48 MB
018 How to Calculate the Model Fit with R-Squared_en.vtt	VTT	3.84 KB
019 Introduction to Model Evaluation.mp4	MP4	7.34 MB
019 Introduction to Model Evaluation_en.vtt	VTT	3.31 KB
020 Improving the Model by Transforming the Data.mp4	MP4	81.41 MB
020 Improving the Model by Transforming the Data_en.vtt	VTT	18.78 KB
021 How to Interpret Coefficients using p-Values and Statistical Significance.mp4	MP4	49.02 MB
021 How to Interpret Coefficients using p-Values and Statistical Significance_en.vtt	VTT	9.48 KB
022 Understanding VIF & Testing for Multicollinearity.mp4	MP4	105.42 MB
022 Understanding VIF & Testing for Multicollinearity_en.vtt	VTT	22.29 KB
023 Model Simplification & Baysian Information Criterion.mp4	MP4	119.72 MB
023 Model Simplification & Baysian Information Criterion_en.vtt	VTT	20.18 KB
024 How to Analyse and Plot Regression Residuals.mp4	MP4	28.05 MB
024 How to Analyse and Plot Regression Residuals_en.vtt	VTT	12.85 KB
025 Residual Analysis (Part 1) Predicted vs Actual Values.mp4	MP4	81.48 MB
025 Residual Analysis (Part 1) Predicted vs Actual Values_en.vtt	VTT	15.74 KB
026 Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4	MP4	99.19 MB
026 Residual Analysis (Part 2) Graphing and Comparing Regression Residuals_en.vtt	VTT	19.68 KB
027 Making Predictions (Part 1) MSE & R-Squared.mp4	MP4	126.58 MB
027 Making Predictions (Part 1) MSE & R-Squared_en.vtt	VTT	20.51 KB
028 Making Predictions (Part 2) Standard Deviation, RMSE, and Prediction Intervals.mp4	MP4	63.72 MB
028 Making Predictions (Part 2) Standard Deviation, RMSE, and Prediction Intervals_en.vtt	VTT	12.88 KB
029 Build a Valuation Tool (Part 1) Working with Pandas Series & Numpy ndarrays.mp4	MP4	102.57 MB
029 Build a Valuation Tool (Part 1) Working with Pandas Series & Numpy ndarrays_en.vtt	VTT	17.87 KB
030 [Python] - Conditional Statements - Build a Valuation Tool (Part 2).mp4	MP4	90.12 MB
030 [Python] - Conditional Statements - Build a Valuation Tool (Part 2)_en.vtt	VTT	18.44 KB
031 Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4	MP4	200.93 MB
031 Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module_en.vtt	VTT	24.52 KB
032 Download the Complete Notebook Here.html	HTML	242 B
033 Any Feedback on this Section.html	HTML	512 B
18179918-04-Multivariable-Regression.ipynb.zip	ZIP	3.54 MB
18179928-04-Valuation-Tool.ipynb.zip	ZIP	2.93 KB
18905386-boston-valuation.py	PY	3.05 KB
external-assets-links.txt	TXT	83 B

06 - Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1

001 How to Translate a Business Problem into a Machine Learning Problem.mp4	MP4	31.01 MB
001 How to Translate a Business Problem into a Machine Learning Problem_en.vtt	VTT	8.46 KB
002 Gathering Email Data and Working with Archives & Text Editors.mp4	MP4	95.99 MB
002 Gathering Email Data and Working with Archives & Text Editors_en.vtt	VTT	12.26 KB
003 How to Add the Lesson Resources to the Project.mp4	MP4	18.95 MB
003 How to Add the Lesson Resources to the Project_en.vtt	VTT	4.24 KB
004 The Naive Bayes Algorithm and the Decision Boundary for a Classifier.mp4	MP4	29.41 MB
004 The Naive Bayes Algorithm and the Decision Boundary for a Classifier_en.vtt	VTT	5.36 KB
005 Basic Probability.mp4	MP4	9.4 MB
005 Basic Probability_en.vtt	VTT	4.62 KB
006 Joint & Conditional Probability.mp4	MP4	88.31 MB
006 Joint & Conditional Probability_en.vtt	VTT	17.25 KB
007 Bayes Theorem.mp4	MP4	51.07 MB
007 Bayes Theorem_en.vtt	VTT	13.19 KB
008 Reading Files (Part 1) Absolute Paths and Relative Paths.mp4	MP4	39.54 MB
008 Reading Files (Part 1) Absolute Paths and Relative Paths_en.vtt	VTT	10.29 KB
009 Reading Files (Part 2) Stream Objects and Email Structure.mp4	MP4	87.76 MB
009 Reading Files (Part 2) Stream Objects and Email Structure_en.vtt	VTT	12.75 KB
010 Extracting the Text in the Email Body.mp4	MP4	30.49 MB
010 Extracting the Text in the Email Body_en.vtt	VTT	5.19 KB
011 [Python] - Generator Functions & the yield Keyword.mp4	MP4	104.22 MB
011 [Python] - Generator Functions & the yield Keyword_en.vtt	VTT	19.48 KB
012 Create a Pandas DataFrame of Email Bodies.mp4	MP4	37.37 MB
012 Create a Pandas DataFrame of Email Bodies_en.vtt	VTT	6.24 KB
013 Cleaning Data (Part 1) Check for Empty Emails & Null Entries.mp4	MP4	90.33 MB
013 Cleaning Data (Part 1) Check for Empty Emails & Null Entries_en.vtt	VTT	15.52 KB
014 Cleaning Data (Part 2) Working with a DataFrame Index.mp4	MP4	46.5 MB
014 Cleaning Data (Part 2) Working with a DataFrame Index_en.vtt	VTT	7.95 KB
015 Saving a JSON File with Pandas.mp4	MP4	43.41 MB
015 Saving a JSON File with Pandas_en.vtt	VTT	6.09 KB
016 Data Visualisation (Part 1) Pie Charts.mp4	MP4	70.09 MB
016 Data Visualisation (Part 1) Pie Charts_en.vtt	VTT	14.02 KB
017 Data Visualisation (Part 2) Donut Charts.mp4	MP4	40.95 MB
017 Data Visualisation (Part 2) Donut Charts_en.vtt	VTT	8.31 KB
018 Introduction to Natural Language Processing (NLP).mp4	MP4	37.45 MB
018 Introduction to Natural Language Processing (NLP)_en.vtt	VTT	7.22 KB
019 Tokenizing, Removing Stop Words and the Python Set Data Structure.mp4	MP4	92.53 MB
019 Tokenizing, Removing Stop Words and the Python Set Data Structure_en.vtt	VTT	16.58 KB
020 Word Stemming & Removing Punctuation.mp4	MP4	46.64 MB
020 Word Stemming & Removing Punctuation_en.vtt	VTT	9.39 KB
021 Removing HTML tags with BeautifulSoup.mp4	MP4	86.57 MB
021 Removing HTML tags with BeautifulSoup_en.vtt	VTT	9.73 KB
022 Creating a Function for Text Processing.mp4	MP4	26.36 MB
022 Creating a Function for Text Processing_en.vtt	VTT	7.21 KB
023 A Note for the Next Lesson.html	HTML	476 B
024 Advanced Subsetting on DataFrames the apply() Function.mp4	MP4	55.26 MB
024 Advanced Subsetting on DataFrames the apply() Function_en.vtt	VTT	11.79 KB
025 [Python] - Logical Operators to Create Subsets and Indices.mp4	MP4	57.42 MB
025 [Python] - Logical Operators to Create Subsets and Indices_en.vtt	VTT	13.4 KB
026 Word Clouds & How to install Additional Python Packages.mp4	MP4	50.04 MB
026 Word Clouds & How to install Additional Python Packages_en.vtt	VTT	10.49 KB
027 Creating your First Word Cloud.mp4	MP4	45.54 MB
027 Creating your First Word Cloud_en.vtt	VTT	12.01 KB
028 Styling the Word Cloud with a Mask.mp4	MP4	105.94 MB
028 Styling the Word Cloud with a Mask_en.vtt	VTT	14.5 KB
029 Solving the Hamlet Challenge.mp4	MP4	46.79 MB
029 Solving the Hamlet Challenge_en.vtt	VTT	5.21 KB
030 Styling Word Clouds with Custom Fonts.mp4	MP4	99.44 MB
030 Styling Word Clouds with Custom Fonts_en.vtt	VTT	12.88 KB
031 Create the Vocabulary for the Spam Classifier.mp4	MP4	70.09 MB
031 Create the Vocabulary for the Spam Classifier_en.vtt	VTT	15.4 KB
032 Coding Challenge Check for Membership in a Collection.mp4	MP4	14.85 MB
032 Coding Challenge Check for Membership in a Collection_en.vtt	VTT	5.31 KB
033 Coding Challenge Find the Longest Email.mp4	MP4	41.1 MB
033 Coding Challenge Find the Longest Email_en.vtt	VTT	6.55 KB
034 Sparse Matrix (Part 1) Split the Training and Testing Data.mp4	MP4	58.08 MB
034 Sparse Matrix (Part 1) Split the Training and Testing Data_en.vtt	VTT	13.17 KB
035 Sparse Matrix (Part 2) Data Munging with Nested Loops.mp4	MP4	91.56 MB
035 Sparse Matrix (Part 2) Data Munging with Nested Loops_en.vtt	VTT	19.39 KB
036 Sparse Matrix (Part 3) Using groupby() and Saving .txt Files.mp4	MP4	61.3 MB
036 Sparse Matrix (Part 3) Using groupby() and Saving .txt Files_en.vtt	VTT	10.46 KB
037 Coding Challenge Solution Preparing the Test Data.mp4	MP4	18.88 MB
037 Coding Challenge Solution Preparing the Test Data_en.vtt	VTT	3.93 KB
038 Checkpoint Understanding the Data.mp4	MP4	74.56 MB
038 Checkpoint Understanding the Data_en.vtt	VTT	11.87 KB
039 Download the Complete Notebook Here.html	HTML	242 B
040 Any Feedback on this Section.html	HTML	519 B
18179924-06-Bayes-Classifier-Pre-Processing.ipynb.zip	ZIP	978.02 KB
18190724-SpamData.zip	ZIP	21.28 MB
GetFreeCourses.Co.url	URL	116 B
external-assets-links.txt	TXT	83 B

07 - Train a Naive Bayes Classifier to Create a Spam Filter Part 2

001 Setting up the Notebook and Understanding Delimiters in a Dataset.mp4	MP4	53.98 MB
001 Setting up the Notebook and Understanding Delimiters in a Dataset_en.vtt	VTT	9.8 KB
002 Create a Full Matrix.mp4	MP4	104.85 MB
002 Create a Full Matrix_en.vtt	VTT	19.11 KB
003 Count the Tokens to Train the Naive Bayes Model.mp4	MP4	63.64 MB
003 Count the Tokens to Train the Naive Bayes Model_en.vtt	VTT	16.19 KB
004 Sum the Tokens across the Spam and Ham Subsets.mp4	MP4	24.37 MB
004 Sum the Tokens across the Spam and Ham Subsets_en.vtt	VTT	6.89 KB
005 Calculate the Token Probabilities and Save the Trained Model.mp4	MP4	35.29 MB
005 Calculate the Token Probabilities and Save the Trained Model_en.vtt	VTT	8.26 KB
006 Coding Challenge Prepare the Test Data.mp4	MP4	28.62 MB
006 Coding Challenge Prepare the Test Data_en.vtt	VTT	4.57 KB
007 Download the Complete Notebook Here.html	HTML	242 B
008 Any Feedback on this Section.html	HTML	527 B
18180042-07-Bayes-Classifier-Training.ipynb.zip	ZIP	5.82 KB
18190704-SpamData.zip	ZIP	22.31 MB
external-assets-links.txt	TXT	83 B

08 - Test and Evaluate a Naive Bayes Classifier Part 3

001 Set up the Testing Notebook.mp4	MP4	19.97 MB
001 Set up the Testing Notebook_en.vtt	VTT	3.34 KB
002 Joint Conditional Probability (Part 1) Dot Product.mp4	MP4	47.03 MB
002 Joint Conditional Probability (Part 1) Dot Product_en.vtt	VTT	11.06 KB
003 Joint Conditional Probablity (Part 2) Priors.mp4	MP4	45.8 MB
003 Joint Conditional Probablity (Part 2) Priors_en.vtt	VTT	9.53 KB
004 Making Predictions Comparing Joint Probabilities.mp4	MP4	37.12 MB
004 Making Predictions Comparing Joint Probabilities_en.vtt	VTT	8.78 KB
005 The Accuracy Metric.mp4	MP4	28.66 MB
005 The Accuracy Metric_en.vtt	VTT	6.68 KB
006 Visualising the Decision Boundary.mp4	MP4	149.45 MB
006 Visualising the Decision Boundary_en.vtt	VTT	30.3 KB
007 False Positive vs False Negatives.mp4	MP4	41.39 MB
007 False Positive vs False Negatives_en.vtt	VTT	11.47 KB
008 The Recall Metric.mp4	MP4	18.41 MB
008 The Recall Metric_en.vtt	VTT	5.76 KB
009 The Precision Metric.mp4	MP4	34.47 MB
009 The Precision Metric_en.vtt	VTT	8.42 KB
010 The F-score or F1 Metric.mp4	MP4	16.46 MB
010 The F-score or F1 Metric_en.vtt	VTT	4.47 KB
011 A Naive Bayes Implementation using SciKit Learn.mp4	MP4	145.69 MB
011 A Naive Bayes Implementation using SciKit Learn_en.vtt	VTT	29.27 KB
012 Download the Complete Notebook Here.html	HTML	242 B
013 Any Feedback on this Section.html	HTML	509 B
18180294-07-Bayes-Classifier-Testing-Inference-Evaluation.ipynb.zip	ZIP	243.05 KB
18180296-08-Naive-Bayes-with-scikit-learn.ipynb.zip	ZIP	13.26 KB
18190700-SpamData.zip	ZIP	22.83 MB
external-assets-links.txt	TXT	83 B

09 - Introduction to Neural Networks and How to Use Pre-Trained Models

001 The Human Brain and the Inspiration for Artificial Neural Networks.mp4	MP4	32.71 MB
001 The Human Brain and the Inspiration for Artificial Neural Networks_en.vtt	VTT	9.96 KB
002 Layers, Feature Generation and Learning.mp4	MP4	124.35 MB
002 Layers, Feature Generation and Learning_en.vtt	VTT	24.61 KB
003 Costs and Disadvantages of Neural Networks.mp4	MP4	76.56 MB
003 Costs and Disadvantages of Neural Networks_en.vtt	VTT	16.96 KB
004 Preprocessing Image Data and How RGB Works.mp4	MP4	69.24 MB
004 Preprocessing Image Data and How RGB Works_en.vtt	VTT	14.37 KB
005 Importing Keras Models and the Tensorflow Graph.mp4	MP4	49.24 MB
005 Importing Keras Models and the Tensorflow Graph_en.vtt	VTT	10.32 KB
006 Making Predictions using InceptionResNet.mp4	MP4	103.2 MB
006 Making Predictions using InceptionResNet_en.vtt	VTT	17.08 KB
007 Coding Challenge Solution Using other Keras Models.mp4	MP4	81.98 MB
007 Coding Challenge Solution Using other Keras Models_en.vtt	VTT	11.83 KB
008 Download the Complete Notebook Here.html	HTML	264 B
009 Any Feedback on this Section.html	HTML	526 B
18180490-09-Neural-Nets-Pretrained-Image-Classification.ipynb.zip	ZIP	571.83 KB
18188466-TF-Keras-Classification-Images.zip	ZIP	501.1 KB
GetFreeCourses.Co.url	URL	116 B
external-assets-links.txt	TXT	83 B

10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow

001 Solving a Business Problem with Image Classification.mp4	MP4	19.47 MB
001 Solving a Business Problem with Image Classification_en.vtt	VTT	4.49 KB
002 Installing Tensorflow and Keras for Jupyter.mp4	MP4	31.92 MB
002 Installing Tensorflow and Keras for Jupyter_en.vtt	VTT	5.9 KB
003 Gathering the CIFAR 10 Dataset.mp4	MP4	20.6 MB
003 Gathering the CIFAR 10 Dataset_en.vtt	VTT	5.48 KB
004 Exploring the CIFAR Data.mp4	MP4	81.16 MB
004 Exploring the CIFAR Data_en.vtt	VTT	16.11 KB
005 Pre-processing Scaling Inputs and Creating a Validation Dataset.mp4	MP4	61.32 MB
005 Pre-processing Scaling Inputs and Creating a Validation Dataset_en.vtt	VTT	17.8 KB
006 Compiling a Keras Model and Understanding the Cross Entropy Loss Function.mp4	MP4	76.04 MB
006 Compiling a Keras Model and Understanding the Cross Entropy Loss Function_en.vtt	VTT	16.58 KB
007 Interacting with the Operating System and the Python Try-Catch Block.mp4	MP4	45.79 MB
007 Interacting with the Operating System and the Python Try-Catch Block_en.vtt	VTT	21.52 KB
008 Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.mp4	MP4	76.55 MB
008 Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems_en.vtt	VTT	12.76 KB
009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4	MP4	152.54 MB
009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques_en.vtt	VTT	25.08 KB
010 Use the Model to Make Predictions.mp4	MP4	173.85 MB
010 Use the Model to Make Predictions_en.vtt	VTT	30.18 KB
011 Model Evaluation and the Confusion Matrix.mp4	MP4	40.05 MB
011 Model Evaluation and the Confusion Matrix_en.vtt	VTT	9.6 KB
012 Model Evaluation and the Confusion Matrix.mp4	MP4	193.26 MB
012 Model Evaluation and the Confusion Matrix_en.vtt	VTT	35.46 KB
013 Download the Complete Notebook Here.html	HTML	242 B
014 Any Feedback on this Section.html	HTML	521 B
18187728-10-Neural-Nets-Keras-CIFAR10-Classification.ipynb.zip	ZIP	120.11 KB
external-assets-links.txt	TXT	83 B

11 - Use Tensorflow to Classify Handwritten Digits

001 What's coming up.mp4	MP4	5.23 MB
001 What's coming up_en.vtt	VTT	2.32 KB
002 Getting the Data and Loading it into Numpy Arrays.mp4	MP4	39.66 MB
002 Getting the Data and Loading it into Numpy Arrays_en.vtt	VTT	8.19 KB
003 Data Exploration and Understanding the Structure of the Input Data.mp4	MP4	20.6 MB
003 Data Exploration and Understanding the Structure of the Input Data_en.vtt	VTT	5.73 KB
004 Data Preprocessing One-Hot Encoding and Creating the Validation Dataset.mp4	MP4	49.34 MB
004 Data Preprocessing One-Hot Encoding and Creating the Validation Dataset_en.vtt	VTT	11.48 KB
005 What is a Tensor.mp4	MP4	37.85 MB
005 What is a Tensor_en.vtt	VTT	8.18 KB
006 Creating Tensors and Setting up the Neural Network Architecture.mp4	MP4	110.62 MB
006 Creating Tensors and Setting up the Neural Network Architecture_en.vtt	VTT	26.2 KB
007 Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.mp4	MP4	49.63 MB
007 Defining the Cross Entropy Loss Function, the Optimizer and the Metrics_en.vtt	VTT	12.68 KB
008 TensorFlow Sessions and Batching Data.mp4	MP4	73.63 MB
008 TensorFlow Sessions and Batching Data_en.vtt	VTT	18.27 KB
009 Tensorboard Summaries and the Filewriter.mp4	MP4	98.73 MB
009 Tensorboard Summaries and the Filewriter_en.vtt	VTT	21.25 KB
010 Understanding the Tensorflow Graph Nodes and Edges.mp4	MP4	89.48 MB
010 Understanding the Tensorflow Graph Nodes and Edges_en.vtt	VTT	18.52 KB
011 Name Scoping and Image Visualisation in Tensorboard.mp4	MP4	66.81 MB
011 Name Scoping and Image Visualisation in Tensorboard_en.vtt	VTT	23.85 KB
012 Different Model Architectures Experimenting with Dropout.mp4	MP4	173.82 MB
012 Different Model Architectures Experimenting with Dropout_en.vtt	VTT	27.03 KB
013 Prediction and Model Evaluation.mp4	MP4	87.34 MB
013 Prediction and Model Evaluation_en.vtt	VTT	16.75 KB
014 Download the Complete Notebook Here.html	HTML	242 B
015 Any Feedback on this Section.html	HTML	499 B
18187740-11-Neural-Networks-TF-Handwriting-Recognition.ipynb.zip	ZIP	6.6 KB
18194656-MNIST.zip	ZIP	14.77 MB
external-assets-links.txt	TXT	83 B

12 - Serving a Tensorflow Model through a Website

001 What you'll make.mp4	MP4	35.52 MB
001 What you'll make_en.vtt	VTT	8.73 KB
002 Saving Tensorflow Models.mp4	MP4	103.67 MB
002 Saving Tensorflow Models_en.vtt	VTT	19 KB
003 Loading a SavedModel.mp4	MP4	85.1 MB
003 Loading a SavedModel_en.vtt	VTT	23.15 KB
004 Converting a Model to Tensorflow.js.mp4	MP4	93.61 MB
004 Converting a Model to Tensorflow.js_en.vtt	VTT	18.79 KB
005 Introducing the Website Project and Tooling.mp4	MP4	68.79 MB
005 Introducing the Website Project and Tooling_en.vtt	VTT	15.68 KB
006 HTML and CSS Styling.mp4	MP4	136.76 MB
006 HTML and CSS Styling_en.vtt	VTT	33.85 KB
007 Loading a Tensorflow.js Model and Starting your own Server.mp4	MP4	175.41 MB
007 Loading a Tensorflow.js Model and Starting your own Server_en.vtt	VTT	33.67 KB
008 Adding a Favicon.mp4	MP4	24.34 MB
008 Adding a Favicon_en.vtt	VTT	6.5 KB
009 Styling an HTML Canvas.mp4	MP4	172.69 MB
009 Styling an HTML Canvas_en.vtt	VTT	35.37 KB
010 Drawing on an HTML Canvas.mp4	MP4	159.28 MB
010 Drawing on an HTML Canvas_en.vtt	VTT	33.21 KB
011 Data Pre-Processing for Tensorflow.js.mp4	MP4	25.56 MB
011 Data Pre-Processing for Tensorflow.js_en.vtt	VTT	10.73 KB
012 Introduction to OpenCV.mp4	MP4	133.24 MB
012 Introduction to OpenCV_en.vtt	VTT	34.43 KB
013 Resizing and Adding Padding to Images.mp4	MP4	147.83 MB
013 Resizing and Adding Padding to Images_en.vtt	VTT	24.19 KB
014 Calculating the Centre of Mass and Shifting the Image.mp4	MP4	210.44 MB
014 Calculating the Centre of Mass and Shifting the Image_en.vtt	VTT	32.1 KB
015 Making a Prediction from a Digit drawn on the HTML Canvas.mp4	MP4	98.46 MB
015 Making a Prediction from a Digit drawn on the HTML Canvas_en.vtt	VTT	15.37 KB
016 Adding the Game Logic.mp4	MP4	158.22 MB
016 Adding the Game Logic_en.vtt	VTT	33.58 KB
017 Publish and Share your Website!.mp4	MP4	33.31 MB
017 Publish and Share your Website!_en.vtt	VTT	8.19 KB
018 Any Feedback on this Section.html	HTML	500 B
21028850-11-Neural-Networks-TF-Handwriting-Recognition.ipynb.zip	ZIP	6.39 KB
21028876-MNIST-Model-Load-Files.zip	ZIP	2.84 MB
21028894-TFJS.zip	ZIP	1.54 MB
21028914-math-garden-stub.zip	ZIP	44.03 KB
21028926-math-garden-stub-complete.zip	ZIP	4.09 MB
21028932-math-garden-stub-12.12-checkpoint.zip	ZIP	4.09 MB
21028968-12-TF-SavedModel-Export-Completed.ipynb.zip	ZIP	6.13 KB
21028978-x-test0-ylabel7.txt	TXT	4.59 KB
21028982-x-test1-ylabel2.txt	TXT	4.59 KB
21028988-x-test2-ylabel1.txt	TXT	4.59 KB
GetFreeCourses.Co.url	URL	116 B

13 - Next Steps

001 Where next.html	HTML	3.9 KB
002 What Modules Do You Want to See.html	HTML	431 B
003 Stay in Touch!.html	HTML	1.05 KB

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