FreeCourseSite com Udemy Machine Learning with Javascript | C3D9A51856DD6F9F28D7D0CFF6DB01AEE7B78410

FreeCourseSite com Udemy Machine Learning with Javascript

Name	[FreeCourseSite.com] Udemy - Machine Learning with Javascript	DOWNLOAD Copy Link
Total Size	7.3 GB
Total Files	358
Last Seen	2024-07-22 00:57
Hash	C3D9A51856DD6F9F28D7D0CFF6DB01AEE7B78410

/0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/01 - What is Machine Learning/
001 Getting Started - How to Get Help.mp4	8.8 MB
001 Getting Started - How to Get Help_en.srt	2.0 KB
002 Course Resources.html	1.4 KB
002 diagrams.zip	808.8 KB
003 Join Our Community!.html	0.3 KB
004 Solving Machine Learning Problems.mp4	65.8 MB
004 Solving Machine Learning Problems_en.srt	9.8 KB
005 A Complete Walkthrough.mp4	66.4 MB
005 A Complete Walkthrough_en.srt	15.8 KB
006 App Setup.mp4	8.5 MB
007 Problem Outline.mp4	24.0 MB
007 Problem Outline_en.srt	5.2 KB
008 Identifying Relevant Data.mp4	35.6 MB
008 Identifying Relevant Data_en.srt	7.0 KB
009 Dataset Structures.mp4	50.6 MB
009 Dataset Structures_en.srt	9.5 KB
010 Recording Observation Data.mp4	13.3 MB
011 What Type of Problem.mp4	17.7 MB
011 What Type of Problem_en.srt	8.1 KB
/.../0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/02 - Algorithm Overview/
001 How K-Nearest Neighbor Works.mp4	73.1 MB
001 How K-Nearest Neighbor Works_en.srt	13.9 KB
002 Lodash Review.mp4	50.6 MB
002 Lodash Review_en.srt	15.8 KB
003 Implementing KNN.mp4	62.2 MB
003 Implementing KNN_en.srt	10.7 KB
004 Finishing KNN Implementation.mp4	39.8 MB
004 Finishing KNN Implementation_en.srt	9.1 KB
005 Testing the Algorithm.mp4	47.1 MB
005 Testing the Algorithm_en.srt	7.6 KB
006 Interpreting Bad Results.mp4	26.9 MB
006 Interpreting Bad Results_en.srt	6.8 KB
007 Test and Training Data.mp4	28.7 MB
007 Test and Training Data_en.srt	6.4 KB
008 Randomizing Test Data.mp4	14.1 MB
008 Randomizing Test Data_en.srt	6.0 KB
009 Generalizing KNN.mp4	40.9 MB
009 Generalizing KNN_en.srt	6.0 KB
010 Gauging Accuracy.mp4	48.2 MB
010 Gauging Accuracy_en.srt	8.3 KB
011 Printing a Report.mp4	34.9 MB
011 Printing a Report_en.srt	5.3 KB
012 Refactoring Accuracy Reporting.mp4	35.5 MB
012 Refactoring Accuracy Reporting_en.srt	8.0 KB
013 Investigating Optimal K Values.mp4	117.9 MB
014 Updating KNN for Multiple Features.mp4	51.2 MB
014 Updating KNN for Multiple Features_en.srt	10.8 KB
015 Multi-Dimensional KNN.mp4	33.5 MB
015 Multi-Dimensional KNN_en.srt	6.6 KB
016 N-Dimension Distance.mp4	62.4 MB
016 N-Dimension Distance_en.srt	16.4 KB
017 Arbitrary Feature Spaces.mp4	60.9 MB
017 Arbitrary Feature Spaces_en.srt	14.0 KB
018 Magnitude Offsets in Features.mp4	48.5 MB
018 Magnitude Offsets in Features_en.srt	9.3 KB
019 Feature Normalization.mp4	56.7 MB
019 Feature Normalization_en.srt	12.4 KB
020 Normalization with MinMax.mp4	57.0 MB
020 Normalization with MinMax_en.srt	10.9 KB
021 Applying Normalization.mp4	40.8 MB
021 Applying Normalization_en.srt	7.3 KB
022 Feature Selection with KNN.mp4	60.1 MB
022 Feature Selection with KNN_en.srt	13.4 KB
023 Objective Feature Picking.mp4	29.8 MB
024 Evaluating Different Feature Values.mp4	22.0 MB
024 Evaluating Different Feature Values_en.srt	4.6 KB
/03 - Onwards to Tensorflow JS!/
001 Let's Get Our Bearings.mp4	49.1 MB
001 Let's Get Our Bearings_en.srt	12.6 KB
002 A Plan to Move Forward.mp4	38.7 MB
002 A Plan to Move Forward_en.srt	7.9 KB
003 Tensor Shape and Dimension.mp4	73.7 MB
003 Tensor Shape and Dimension_en.srt	20.0 KB
004 Elementwise Operations.mp4	45.3 MB
004 Elementwise Operations_en.srt	12.6 KB
005 Broadcasting Operations.mp4	25.4 MB
005 Broadcasting Operations_en.srt	11.0 KB
006 Logging Tensor Data.mp4	11.2 MB
006 Logging Tensor Data_en.srt	6.9 KB
007 Tensor Accessors.mp4	11.5 MB
007 Tensor Accessors_en.srt	9.1 KB
008 Creating Slices of Data.mp4	29.3 MB
008 Creating Slices of Data_en.srt	12.1 KB
009 Tensor Concatenation.mp4	29.2 MB
009 Tensor Concatenation_en.srt	8.9 KB
010 Summing Values Along an Axis.mp4	31.5 MB
010 Summing Values Along an Axis_en.srt	8.4 KB
011 Massaging Dimensions with ExpandDims.mp4	28.5 MB
011 Massaging Dimensions with ExpandDims_en.srt	12.7 KB
/04 - Applications of Tensorflow/
001 KNN with Regression.mp4	19.9 MB
001 KNN with Regression_en.srt	8.4 KB
002 A Change in Data Structure.mp4	15.8 MB
002 A Change in Data Structure_en.srt	6.8 KB
003 KNN with Tensorflow.mp4	62.4 MB
003 KNN with Tensorflow_en.srt	15.4 KB
004 Maintaining Order Relationships.mp4	37.9 MB
004 Maintaining Order Relationships_en.srt	10.8 KB
005 Sorting Tensors.mp4	30.9 MB
005 Sorting Tensors_en.srt	12.8 KB
006 Averaging Top Values.mp4	49.8 MB
007 Moving to the Editor.mp4	28.1 MB
007 Moving to the Editor_en.srt	5.4 KB
008 Loading CSV Data.mp4	72.2 MB
008 Loading CSV Data_en.srt	16.1 KB
009 Running an Analysis.mp4	21.8 MB
010 Reporting Error Percentages.mp4	42.7 MB
010 Reporting Error Percentages_en.srt	10.2 KB
011 Normalization or Standardization.mp4	81.7 MB
011 Normalization or Standardization_en.srt	12.1 KB
012 Numerical Standardization with Tensorflow.mp4	42.1 MB
012 Numerical Standardization with Tensorflow_en.srt	12.3 KB
013 Applying Standardization.mp4	38.3 MB
013 Applying Standardization_en.srt	6.8 KB
014 Debugging Calculations.mp4	78.7 MB
015 What Now.mp4	18.6 MB
015 What Now_en.srt	6.6 KB
/05 - Getting Started with Gradient Descent/
001 Linear Regression.mp4	10.2 MB
001 Linear Regression_en.srt	4.7 KB
002 Why Linear Regression.mp4	31.4 MB
002 Why Linear Regression_en.srt	8.0 KB
003 Understanding Gradient Descent.mp4	81.7 MB
003 Understanding Gradient Descent_en.srt	20.6 KB
004 Guessing Coefficients with MSE.mp4	74.3 MB
004 Guessing Coefficients with MSE_en.srt	16.2 KB
005 Observations Around MSE.mp4	22.5 MB
005 Observations Around MSE_en.srt	9.5 KB
006 Derivatives!.mp4	21.7 MB
006 Derivatives!_en.srt	11.4 KB
007 Gradient Descent in Action.mp4	93.5 MB
007 Gradient Descent in Action_en.srt	19.1 KB
008 Quick Breather and Review.mp4	40.9 MB
009 Why a Learning Rate.mp4	155.7 MB
009 Why a Learning Rate_en.srt	27.2 KB
010 Answering Common Questions.mp4	31.3 MB
010 Answering Common Questions_en.srt	6.3 KB
011 Gradient Descent with Multiple Terms.mp4	17.6 MB
011 Gradient Descent with Multiple Terms_en.srt	7.6 KB
012 Multiple Terms in Action.mp4	108.3 MB
012 Multiple Terms in Action_en.srt	17.4 KB
/06 - Gradient Descent with Tensorflow/
001 Project Overview.mp4	26.2 MB
001 Project Overview_en.srt	9.7 KB
002 Data Loading.mp4	20.5 MB
002 Data Loading_en.srt	7.9 KB
003 Default Algorithm Options.mp4	27.9 MB
003 Default Algorithm Options_en.srt	13.5 KB
004 Formulating the Training Loop.mp4	9.1 MB
004 Formulating the Training Loop_en.srt	5.1 KB
005 Initial Gradient Descent Implementation.mp4	71.0 MB
005 Initial Gradient Descent Implementation_en.srt	14.7 KB
006 Calculating MSE Slopes.mp4	53.5 MB
006 Calculating MSE Slopes_en.srt	9.9 KB
007 Updating Coefficients.mp4	27.3 MB
007 Updating Coefficients_en.srt	5.2 KB
008 Interpreting Results.mp4	94.0 MB
008 Interpreting Results_en.srt	16.1 KB
009 Matrix Multiplication.mp4	32.1 MB
009 Matrix Multiplication_en.srt	11.6 KB
010 More on Matrix Multiplication.mp4	45.7 MB
011 Matrix Form of Slope Equations.mp4	23.8 MB
011 Matrix Form of Slope Equations_en.srt	9.8 KB
012 Simplification with Matrix Multiplication.mp4	63.7 MB
012 Simplification with Matrix Multiplication_en.srt	15.4 KB
013 How it All Works Together!.mp4	115.9 MB
013 How it All Works Together!_en.srt	22.5 KB
/07 - Increasing Performance with Vectorized Solutions/
001 Refactoring the Linear Regression Class.mp4	48.1 MB
001 Refactoring the Linear Regression Class_en.srt	12.4 KB
002 Refactoring to One Equation.mp4	66.9 MB
002 Refactoring to One Equation_en.srt	14.4 KB
003 A Few More Changes.mp4	61.4 MB
003 A Few More Changes_en.srt	10.3 KB
004 Same Results Or Not.mp4	12.6 MB
004 Same Results Or Not_en.srt	5.8 KB
005 Calculating Model Accuracy.mp4	59.2 MB
005 Calculating Model Accuracy_en.srt	14.0 KB
006 Implementing Coefficient of Determination.mp4	49.8 MB
006 Implementing Coefficient of Determination_en.srt	12.0 KB
007 Dealing with Bad Accuracy.mp4	60.5 MB
007 Dealing with Bad Accuracy_en.srt	12.5 KB
008 Reminder on Standardization.mp4	19.7 MB
008 Reminder on Standardization_en.srt	7.3 KB
009 Data Processing in a Helper Method.mp4	24.6 MB
009 Data Processing in a Helper Method_en.srt	5.7 KB
010 Reapplying Standardization.mp4	52.6 MB
010 Reapplying Standardization_en.srt	8.9 KB
011 Fixing Standardization Issues.mp4	43.0 MB
011 Fixing Standardization Issues_en.srt	9.4 KB
012 Massaging Learning Rates.mp4	23.9 MB
013 Moving Towards Multivariate Regression.mp4	89.1 MB
013 Moving Towards Multivariate Regression_en.srt	19.6 KB
014 Refactoring for Multivariate Analysis.mp4	75.9 MB
014 Refactoring for Multivariate Analysis_en.srt	12.4 KB
015 Learning Rate Optimization.mp4	55.6 MB
015 Learning Rate Optimization_en.srt	13.1 KB
016 Recording MSE History.mp4	34.3 MB
016 Recording MSE History_en.srt	8.4 KB
017 Updating Learning Rate.mp4	29.3 MB
017 Updating Learning Rate_en.srt	10.6 KB
/08 - Plotting Data with Javascript/
001 Observing Changing Learning Rate and MSE.mp4	37.1 MB
001 Observing Changing Learning Rate and MSE_en.srt	7.0 KB
002 Plotting MSE Values.mp4	41.6 MB
002 Plotting MSE Values_en.srt	8.6 KB
003 Plotting MSE History against B Values.mp4	37.9 MB
/.../0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/09 - Gradient Descent Alterations/
001 Batch and Stochastic Gradient Descent.mp4	66.8 MB
001 Batch and Stochastic Gradient Descent_en.srt	11.7 KB
002 Refactoring Towards Batch Gradient Descent.mp4	24.7 MB
003 Determining Batch Size and Quantity.mp4	56.5 MB
003 Determining Batch Size and Quantity_en.srt	9.5 KB
004 Iterating Over Batches.mp4	27.7 MB
004 Iterating Over Batches_en.srt	12.9 KB
005 Evaluating Batch Gradient Descent Results.mp4	53.2 MB
005 Evaluating Batch Gradient Descent Results_en.srt	9.6 KB
006 Making Predictions with the Model.mp4	35.5 MB
006 Making Predictions with the Model_en.srt	12.7 KB
/10 - Natural Binary Classification/
001 Introducing Logistic Regression.mp4	9.4 MB
001 Introducing Logistic Regression_en.srt	4.2 KB
002 Logistic Regression in Action.mp4	18.6 MB
002 Logistic Regression in Action_en.srt	11.2 KB
003 Bad Equation Fits.mp4	35.2 MB
003 Bad Equation Fits_en.srt	9.0 KB
004 The Sigmoid Equation.mp4	31.8 MB
004 The Sigmoid Equation_en.srt	7.5 KB
005 Decision Boundaries.mp4	36.7 MB
005 Decision Boundaries_en.srt	12.8 KB
006 Changes for Logistic Regression.mp4	3.6 MB
006 Changes for Logistic Regression_en.srt	2.1 KB
007 Project Setup for Logistic Regression.mp4	49.2 MB
007 Project Setup for Logistic Regression_en.srt	9.4 KB
008 Project Download.html	0.2 KB
008 regressions.zip	35.1 KB
009 Importing Vehicle Data.mp4	34.7 MB
010 Encoding Label Values.mp4	31.3 MB
011 Updating Linear Regression for Logistic Regression.mp4	56.9 MB
012 The Sigmoid Equation with Logistic Regression.mp4	24.4 MB
012 The Sigmoid Equation with Logistic Regression_en.srt	7.4 KB
013 A Touch More Refactoring.mp4	82.5 MB
013 A Touch More Refactoring_en.srt	12.2 KB
014 Gauging Classification Accuracy.mp4	23.4 MB
014 Gauging Classification Accuracy_en.srt	5.7 KB
015 Implementing a Test Function.mp4	21.0 MB
015 Implementing a Test Function_en.srt	8.9 KB
016 Variable Decision Boundaries.mp4	61.3 MB
017 Mean Squared Error vs Cross Entropy.mp4	45.7 MB
017 Mean Squared Error vs Cross Entropy_en.srt	9.4 KB
018 Refactoring with Cross Entropy.mp4	40.1 MB
019 Finishing the Cost Refactor.mp4	44.2 MB
019 Finishing the Cost Refactor_en.srt	6.9 KB
020 Plotting Changing Cost History.mp4	34.9 MB
020 Plotting Changing Cost History_en.srt	5.8 KB
/11 - Multi-Value Classification/
001 Multinominal Logistic Regression.mp4	6.9 MB
001 Multinominal Logistic Regression_en.srt	3.8 KB
002 A Smart Refactor to Multinominal Analysis.mp4	15.2 MB
002 A Smart Refactor to Multinominal Analysis_en.srt	8.7 KB
003 A Smarter Refactor!.mp4	29.9 MB
003 A Smarter Refactor!_en.srt	6.0 KB
004 A Single Instance Approach.mp4	78.0 MB
004 A Single Instance Approach_en.srt	16.2 KB
005 Refactoring to Multi-Column Weights.mp4	31.7 MB
005 Refactoring to Multi-Column Weights_en.srt	7.7 KB
006 A Problem to Test Multinominal Classification.mp4	30.2 MB
006 A Problem to Test Multinominal Classification_en.srt	7.5 KB
007 Classifying Continuous Values.mp4	20.6 MB
008 Training a Multinominal Model.mp4	43.2 MB
009 Marginal vs Conditional Probability.mp4	71.7 MB
009 Marginal vs Conditional Probability_en.srt	16.6 KB
010 Sigmoid vs Softmax.mp4	46.8 MB
010 Sigmoid vs Softmax_en.srt	10.5 KB
011 Refactoring Sigmoid to Softmax.mp4	43.8 MB
011 Refactoring Sigmoid to Softmax_en.srt	7.9 KB
012 Implementing Accuracy Gauges.mp4	23.1 MB
013 Calculating Accuracy.mp4	12.2 MB
013 Calculating Accuracy_en.srt	5.1 KB
/12 - Image Recognition In Action/
001 Handwriting Recognition.mp4	8.8 MB
001 Handwriting Recognition_en.srt	3.8 KB
002 Greyscale Values.mp4	40.3 MB
002 Greyscale Values_en.srt	8.2 KB
003 Many Features.mp4	38.5 MB
003 Many Features_en.srt	5.5 KB
004 Flattening Image Data.mp4	38.8 MB
005 Encoding Label Values.mp4	40.1 MB
005 Encoding Label Values_en.srt	9.7 KB
006 Implementing an Accuracy Gauge.mp4	65.2 MB
007 Unchanging Accuracy.mp4	7.4 MB
007 Unchanging Accuracy_en.srt	3.3 KB
008 Debugging the Calculation Process.mp4	81.4 MB
008 Debugging the Calculation Process_en.srt	13.3 KB
009 Dealing with Zero Variances.mp4	24.1 MB
009 Dealing with Zero Variances_en.srt	10.3 KB
010 Backfilling Variance.mp4	17.3 MB
010 Backfilling Variance_en.srt	4.2 KB
/.../0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/13 - Performance Optimization/
001 Handing Large Datasets.mp4	19.4 MB
001 Handing Large Datasets_en.srt	7.4 KB
002 Minimizing Memory Usage.mp4	15.9 MB
002 Minimizing Memory Usage_en.srt	7.7 KB
003 Creating Memory Snapshots.mp4	22.8 MB
003 Creating Memory Snapshots_en.srt	8.4 KB
004 The Javascript Garbage Collector.mp4	23.7 MB
004 The Javascript Garbage Collector_en.srt	10.4 KB
005 Shallow vs Retained Memory Usage.mp4	48.9 MB
005 Shallow vs Retained Memory Usage_en.srt	9.6 KB
006 Measuring Memory Usage.mp4	90.0 MB
006 Measuring Memory Usage_en.srt	14.2 KB
007 Releasing References.mp4	33.4 MB
007 Releasing References_en.srt	5.0 KB
008 Measuring Footprint Reduction.mp4	28.2 MB
008 Measuring Footprint Reduction_en.srt	6.6 KB
009 Optimization Tensorflow Memory Usage.mp4	12.0 MB
009 Optimization Tensorflow Memory Usage_en.srt	2.9 KB
010 Tensorflow's Eager Memory Usage.mp4	21.1 MB
010 Tensorflow's Eager Memory Usage_en.srt	7.6 KB
011 Cleaning up Tensors with Tidy.mp4	9.9 MB
011 Cleaning up Tensors with Tidy_en.srt	4.5 KB
012 Implementing TF Tidy.mp4	14.3 MB
013 Tidying the Training Loop.mp4	43.1 MB
013 Tidying the Training Loop_en.srt	6.3 KB
014 Measuring Reduced Memory Usage.mp4	11.5 MB
014 Measuring Reduced Memory Usage_en.srt	2.5 KB
015 One More Optimization.mp4	22.5 MB
015 One More Optimization_en.srt	4.0 KB
016 Final Memory Report.mp4	22.1 MB
017 Plotting Cost History.mp4	45.4 MB
017 Plotting Cost History_en.srt	7.0 KB
018 NaN in Cost History.mp4	37.6 MB
018 NaN in Cost History_en.srt	7.3 KB
019 Fixing Cost History.mp4	32.1 MB
019 Fixing Cost History_en.srt	7.9 KB
020 Massaging Learning Parameters.mp4	14.2 MB
020 Massaging Learning Parameters_en.srt	2.8 KB
021 Improving Model Accuracy.mp4	35.3 MB
021 Improving Model Accuracy_en.srt	7.0 KB
/14 - Appendix Custom CSV Loader/
001 Loading CSV Files.mp4	6.3 MB
001 Loading CSV Files_en.srt	3.6 KB
002 A Test Dataset.mp4	3.9 MB
002 A Test Dataset_en.srt	3.1 KB
003 Reading Files from Disk.mp4	6.9 MB
004 Splitting into Columns.mp4	7.0 MB
005 Dropping Trailing Columns.mp4	8.0 MB
005 Dropping Trailing Columns_en.srt	3.9 KB
006 Parsing Number Values.mp4	25.2 MB
006 Parsing Number Values_en.srt	5.5 KB
007 Custom Value Parsing.mp4	14.7 MB
007 Custom Value Parsing_en.srt	6.8 KB
008 Extracting Data Columns.mp4	53.1 MB
008 Extracting Data Columns_en.srt	8.3 KB
009 Shuffling Data via Seed Phrase.mp4	34.5 MB
009 Shuffling Data via Seed Phrase_en.srt	9.0 KB
010 Splitting Test and Training.mp4	50.7 MB
010 Splitting Test and Training_en.srt	12.7 KB
/15 - Extras/
001 Bonus!.html	3.7 KB
Total files 358