Torrent Info
Title [GigaCourse.Com] Udemy - Complete Machine Learning & Data Science Bootcamp 2022
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Size 16.59GB

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[CourseClub.Me].url 122B
[CourseClub.Me].url 122B
[CourseClub.Me].url 122B
[CourseClub.Me].url 122B
[CourseClub.Me].url 122B
[CourseClub.Me].url 122B
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[GigaCourse.Com].url 49B
[GigaCourse.Com].url 49B
[GigaCourse.Com].url 49B
[GigaCourse.Com].url 49B
[GigaCourse.Com].url 49B
[GigaCourse.Com].url 49B
[GigaCourse.Com].url 49B
[GigaCourse.Com].url 49B
001 Become An Alumni.html 944B
001 Bonus Lecture.html 1.19KB
001 Breaking The Flow_en.vtt 2.68KB
001 Breaking The Flow.mp4 7.40MB
001 Course Outline_en.vtt 8.05KB
001 Course Outline.mp4 77.27MB
001 Data Engineering Introduction_en.vtt 3.77KB
001 Data Engineering Introduction.mp4 6.57MB
001 Endorsements On LinkedIn.html 1.37KB
001 Milestone Projects!.html 738B
001 Section Overview_en.vtt 4.18KB
001 Section Overview_en.vtt 1.76KB
001 Section Overview_en.vtt 3.23KB
001 Section Overview_en.vtt 2.88KB
001 Section Overview_en.vtt 2.30KB
001 Section Overview_en.vtt 3.44KB
001 Section Overview_en.vtt 2.75KB
001 Section Overview_en.vtt 1.63KB
001 Section Overview_en.vtt 2.51KB
001 Section Overview_en.vtt 2.96KB
001 Section Overview.mp4 6.34MB
001 Section Overview.mp4 2.48MB
001 Section Overview.mp4 5.07MB
001 Section Overview.mp4 12.50MB
001 Section Overview.mp4 3.84MB
001 Section Overview.mp4 5.57MB
001 Section Overview.mp4 4.57MB
001 Section Overview.mp4 8.72MB
001 Section Overview.mp4 6.39MB
001 Section Overview.mp4 4.83MB
001 Statistics and Mathematics.html 710B
001 The 2 Paths_en.vtt 4.12KB
001 The 2 Paths.mp4 4.89MB
001 What Is A Programming Language_en.vtt 6.36KB
001 What Is A Programming Language.mp4 76.43MB
001 What Is Machine Learning_en.vtt 7.80KB
001 What Is Machine Learning.mp4 28.30MB
002 AIMachine LearningData Science_en.vtt 5.68KB
002 AIMachine LearningData Science.mp4 19.67MB
002 Communicating Your Work_en.vtt 4.25KB
002 Communicating Your Work.mp4 8.42MB
002 Conditional Logic_en.vtt 13.97KB
002 Conditional Logic.mp4 56.56MB
002 Deep Learning and Unstructured Data_en.vtt 18.26KB
002 Deep Learning and Unstructured Data.mp4 69.84MB
002 Downloading Workbooks and Assignments.html 967B
002 Introducing Our Framework_en.vtt 3.28KB
002 Introducing Our Framework.mp4 4.29MB
002 Introducing Our Tools_en.vtt 3.96KB
002 Introducing Our Tools.mp4 19.28MB
002 Join Our Online Classroom!_en.vtt 5.19KB
002 Join Our Online Classroom!.mp4 77.56MB
002 Matplotlib Introduction_en.vtt 7.15KB
002 Matplotlib Introduction.mp4 20.90MB
002 NumPy Introduction_en.vtt 6.69KB
002 NumPy Introduction.mp4 13.62MB
002 Project Overview_en.vtt 9.06KB
002 Project Overview_en.vtt 6.23KB
002 Project Overview.mp4 13.67MB
002 Project Overview.mp4 13.49MB
002 Python + Machine Learning Monthly.html 917B
002 Python Interpreter_en.vtt 7.61KB
002 Python Interpreter.mp4 68.50MB
002 Quick Note Upcoming Video.html 587B
002 Scikit-learn Introduction_en.vtt 9.53KB
002 Scikit-learn Introduction.mp4 17.16MB
002 Thank You_en.vtt 3.25KB
002 Thank You.mp4 11.09MB
002 What Is Data_en.vtt 6.93KB
002 What Is Data.mp4 30.66MB
003 6 Step Machine Learning Framework_en.vtt 6.04KB
003 6 Step Machine Learning Framework.mp4 23.47MB
003 Communicating With Managers_en.vtt 3.93KB
003 Communicating With Managers.mp4 6.67MB
003 conda-cheatsheet.pdf 201.29KB
003 Downloading the data for the next two projects.html 1.64KB
003 Endorsements On LinkedIN.html 1.37KB
003 Exercise Machine Learning Playground_en.vtt 7.06KB
003 Exercise Machine Learning Playground.mp4 42.62MB
003 Exercise Meet Your Classmates and Instructor.html 3.70KB
003 How To Run Python Code_en.vtt 5.92KB
003 How To Run Python Code.mp4 36.45MB
003 Importing And Using Matplotlib_en.vtt 14.22KB
003 Importing And Using Matplotlib.mp4 83.89MB
003 Indentation In Python_en.vtt 4.79KB
003 Indentation In Python.mp4 11.30MB
003 Pandas Introduction_en.vtt 6.09KB
003 Pandas Introduction.mp4 11.09MB
003 Project Environment Setup_en.vtt 13.17KB
003 Project Environment Setup.mp4 97.97MB
003 Quick Note Correction In Next Video.html 1.24KB
003 Quick Note Upcoming Video.html 390B
003 Setting Up With Google.html 568B
003 Thank You Part 2.html 730B
003 What If I Don't Have Enough Experience_en.vtt 17.83KB
003 What If I Don't Have Enough Experience.mp4 147.31MB
003 What Is A Data Engineer_en.vtt 4.53KB
003 What Is A Data Engineer.mp4 9.50MB
003 What is Conda_en.vtt 3.07KB
003 What is Conda.mp4 4.81MB
004 Anatomy Of A Matplotlib Figure_en.vtt 12.36KB
004 Anatomy Of A Matplotlib Figure.mp4 53.23MB
004 Communicating With Co-Workers_en.vtt 4.83KB
004 Communicating With Co-Workers.mp4 7.34MB
004 Conda Environments_en.vtt 5.50KB
004 Conda Environments.mp4 14.63MB
004 How Did We Get Here_en.vtt 6.48KB
004 How Did We Get Here.mp4 30.50MB
004 Learning Guideline.html 336B
004 matplotlib-anatomy-of-a-plot.png 369.39KB
004 matplotlib-anatomy-of-a-plot-with-code.png 654.77KB
004 NumPy DataTypes and Attributes_en.vtt 17.24KB
004 NumPy DataTypes and Attributes.mp4 56.55MB
004 Optional Windows Project Environment Setup_en.vtt 4.68KB
004 Optional Windows Project Environment Setup.mp4 11.21MB
004 Our First Python Program_en.vtt 7.84KB
004 Our First Python Program.mp4 29.77MB
004 pandas-anatomy-of-a-dataframe.png 333.24KB
004 Project Environment Setup_en.vtt 13.96KB
004 Project Environment Setup.mp4 99.05MB
004 Refresher What Is Machine Learning_en.vtt 5.83KB
004 Refresher What Is Machine Learning.mp4 17.85MB
004 Series, Data Frames and CSVs_en.vtt 15.85KB
004 Series, Data Frames and CSVs.mp4 91.07MB
004 Setting Up Google Colab_en.vtt 9.03KB
004 Setting Up Google Colab.mp4 73.92MB
004 Truthy vs Falsey_en.vtt 5.57KB
004 Truthy vs Falsey.mp4 36.34MB
004 Types of Machine Learning Problems_en.vtt 12.79KB
004 Types of Machine Learning Problems.mp4 20.98MB
004 What Is A Data Engineer 2_en.vtt 5.69KB
004 What Is A Data Engineer 2.mp4 24.21MB
004 Your First Day_en.vtt 4.66KB
004 Your First Day.mp4 27.98MB
005 Creating NumPy Arrays_en.vtt 10.61KB
005 Creating NumPy Arrays.mp4 45.62MB
005 Data from URLs.html 1.08KB
005 Exercise YouTube Recommendation Engine_en.vtt 4.86KB
005 Exercise YouTube Recommendation Engine.mp4 8.89MB
005 Google Colab Workspace_en.vtt 5.54KB
005 Google Colab Workspace.mp4 32.22MB
005 Latest Version Of Python_en.vtt 2.37KB
005 Latest Version Of Python.mp4 6.97MB
005 Mac Environment Setup_en.vtt 22.28KB
005 Mac Environment Setup.mp4 139.47MB
005 Quick Note Upcoming Videos.html 1018B
005 Quick Note Upcoming Videos.html 565B
005 Scatter Plot And Bar Plot_en.vtt 12.71KB
005 Scatter Plot And Bar Plot.mp4 44.65MB
005 Step 1~4 Framework Setup_en.vtt 15.25KB
005 Step 1~4 Framework Setup_en.vtt 10.70KB
005 Step 1~4 Framework Setup.mp4 102.16MB
005 Step 1~4 Framework Setup.mp4 84.12MB
005 Ternary Operator_en.vtt 4.31KB
005 Ternary Operator.mp4 8.31MB
005 Types of Data_en.vtt 5.75KB
005 Types of Data.mp4 19.99MB
005 Weekend Project Principle_en.vtt 7.91KB
005 Weekend Project Principle.mp4 10.32MB
005 What Is A Data Engineer 3_en.vtt 4.98KB
005 What Is A Data Engineer 3.mp4 10.96MB
006 Communicating With Outside World_en.vtt 4.05KB
006 Communicating With Outside World.mp4 6.29MB
006 Describing Data with Pandas_en.vtt 12.23KB
006 Describing Data with Pandas.mp4 63.50MB
006 Exploring Our Data_en.vtt 18.33KB
006 Exploring Our Data.mp4 135.66MB
006 Getting Our Tools Ready_en.vtt 11.28KB
006 Getting Our Tools Ready.mp4 76.79MB
006 Histograms And Subplots_en.vtt 10.98KB
006 Histograms And Subplots.mp4 57.51MB
006 JTS Learn to Learn_en.vtt 2.14KB
006 JTS Learn to Learn.mp4 5.38MB
006 Mac Environment Setup 2_en.vtt 18.64KB
006 Mac Environment Setup 2.mp4 122.18MB
006 NumPy Random Seed_en.vtt 8.93KB
006 NumPy Random Seed.mp4 36.47MB
006 Python 2 vs Python 3_en.vtt 7.31KB
006 Python 2 vs Python 3.mp4 65.82MB
006 Scikit-learn Cheatsheet_en.vtt 9.23KB
006 Scikit-learn Cheatsheet.mp4 75.13MB
006 Short Circuiting_en.vtt 4.17KB
006 Short Circuiting.mp4 8.14MB
006 Types of Evaluation_en.vtt 4.05KB
006 Types of Evaluation.mp4 6.52MB
006 Types of Machine Learning_en.vtt 4.87KB
006 Types of Machine Learning.mp4 9.63MB
006 Uploading Project Data_en.vtt 8.16KB
006 Uploading Project Data.mp4 50.22MB
006 What Is A Data Engineer 4_en.vtt 3.54KB
006 What Is A Data Engineer 4.mp4 7.43MB
007 Are You Getting It Yet.html 160B
007 car-sales.csv 369B
007 Exercise How Does Python Work_en.vtt 2.57KB
007 Exercise How Does Python Work.mp4 9.36MB
007 Exploring Our Data_en.vtt 10.19KB
007 Exploring Our Data.mp4 64.39MB
007 Exploring Our Data 2_en.vtt 7.71KB
007 Exploring Our Data 2.mp4 50.64MB
007 Features In Data_en.vtt 6.09KB
007 Features In Data.mp4 14.83MB
007 heart-disease.csv 11.06KB
007 JTS Start With Why_en.vtt 2.61KB
007 JTS Start With Why.mp4 15.42MB
007 Logical Operators_en.vtt 7.38KB
007 Logical Operators.mp4 14.60MB
007 Selecting and Viewing Data with Pandas_en.vtt 13.00KB
007 Selecting and Viewing Data with Pandas.mp4 61.69MB
007 Setting Up Our Data_en.vtt 5.72KB
007 Setting Up Our Data.mp4 41.33MB
007 Storytelling_en.vtt 3.60KB
007 Storytelling.mp4 4.86MB
007 Subplots Option 2_en.vtt 5.70KB
007 Subplots Option 2.mp4 31.22MB
007 Types Of Databases_en.vtt 7.72KB
007 Types Of Databases.mp4 24.34MB
007 Typical scikit-learn Workflow_en.vtt 28.43KB
007 Typical scikit-learn Workflow.mp4 184.52MB
007 Viewing Arrays and Matrices_en.vtt 11.76KB
007 Viewing Arrays and Matrices.mp4 59.35MB
007 Windows Environment Setup_en.vtt 6.89KB
007 Windows Environment Setup.mp4 32.90MB
008 Communicating and sharing your work Further reading.html 3.12KB
008 Exercise Logical Operators_en.vtt 7.54KB
008 Exercise Logical Operators.mp4 23.49MB
008 Feature Engineering_en.vtt 19.10KB
008 Feature Engineering.mp4 157.46MB
008 Finding Patterns_en.vtt 11.81KB
008 Finding Patterns.mp4 60.29MB
008 Learning Python_en.vtt 2.38KB
008 Learning Python.mp4 6.55MB
008 Manipulating Arrays_en.vtt 14.56KB
008 Manipulating Arrays.mp4 68.46MB
008 Modelling - Splitting Data_en.vtt 6.88KB
008 Modelling - Splitting Data.mp4 11.29MB
008 Optional Debugging Warnings In Jupyter_en.vtt 23.26KB
008 Optional Debugging Warnings In Jupyter.mp4 171.51MB
008 Quick Note Upcoming Video.html 481B
008 Quick Note Upcoming Videos.html 352B
008 Quick Tip Data Visualizations_en.vtt 2.03KB
008 Quick Tip Data Visualizations.mp4 5.36MB
008 Selecting and Viewing Data with Pandas Part 2_en.vtt 16.25KB
008 Selecting and Viewing Data with Pandas Part 2.mp4 103.38MB
008 Setting Up Our Data 2_en.vtt 2.02KB
008 Setting Up Our Data 2.mp4 21.05MB
008 What Is Machine Learning Round 2_en.vtt 5.53KB
008 What Is Machine Learning Round 2.mp4 11.85MB
008 Windows Environment Setup 2_en.vtt 28.59KB
008 Windows Environment Setup 2.mp4 222.74MB
009 car-sales-missing-data.csv 287B
009 CWD Git + Github_en.vtt 18.60KB
009 CWD Git + Github.mp4 169.84MB
009 Finding Patterns 2_en.vtt 20.80KB
009 Finding Patterns 2.mp4 94.27MB
009 Getting Your Data Ready Splitting Your Data_en.vtt 10.65KB
009 Getting Your Data Ready Splitting Your Data.mp4 60.96MB
009 Importing TensorFlow 2_en.vtt 15.32KB
009 Importing TensorFlow 2.mp4 114.67MB
009 is vs ==_en.vtt 7.58KB
009 is vs ==.mp4 18.05MB
009 Linux Environment Setup.html 1.03KB
009 Manipulating Arrays 2_en.vtt 10.30KB
009 Manipulating Arrays 2.mp4 57.97MB
009 Manipulating Data_en.vtt 15.96KB
009 Manipulating Data.mp4 100.96MB
009 Modelling - Picking the Model_en.vtt 5.54KB
009 Modelling - Picking the Model.mp4 8.74MB
009 Optional OLTP Databases_en.vtt 11.11KB
009 Optional OLTP Databases.mp4 68.25MB
009 Plotting From Pandas DataFrames_en.vtt 8.19KB
009 Plotting From Pandas DataFrames.mp4 49.44MB
009 Python Data Types_en.vtt 4.94KB
009 Python Data Types.mp4 11.96MB
009 scikit-learn-data.zip 20.83KB
009 Section Review_en.vtt 1.95KB
009 Section Review.mp4 2.81MB
009 Turning Data Into Numbers_en.vtt 19.37KB
009 Turning Data Into Numbers.mp4 144.14MB
010 CWD Git + Github 2_en.vtt 16.72KB
010 CWD Git + Github 2.mp4 102.55MB
010 Filling Missing Numerical Values_en.vtt 14.95KB
010 Filling Missing Numerical Values.mp4 103.35MB
010 Finding Patterns 3_en.vtt 16.77KB
010 Finding Patterns 3.mp4 135.88MB
010 For Loops_en.vtt 7.03KB
010 For Loops.mp4 16.42MB
010 How To Succeed.html 280B
010 Manipulating Data 2_en.vtt 12.58KB
010 Manipulating Data 2.mp4 84.27MB
010 Modelling - Tuning_en.vtt 4.47KB
010 Modelling - Tuning.mp4 6.17MB
010 Monthly Coding Challenges, Free Resources and Guides.html 1.58KB
010 Optional Learn SQL.html 410B
010 Optional TensorFlow 2.0 Default Issue_en.vtt 4.00KB
010 Optional TensorFlow 2.0 Default Issue.mp4 13.98MB
010 pandas-anatomy-of-a-dataframe.png 333.24KB
010 Quick Note Regular Expressions.html 632B
010 Quick Tip Clean, Transform, Reduce_en.vtt 5.74KB
010 Quick Tip Clean, Transform, Reduce.mp4 9.74MB
010 Sharing your Conda Environment.html 2.41KB
010 Standard Deviation and Variance_en.vtt 8.38KB
010 Standard Deviation and Variance.mp4 36.77MB
011 6-step-ml-framework.png 324.24KB
011 Contributing To Open Source_en.vtt 15.20KB
011 Contributing To Open Source.mp4 126.78MB
011 Filling Missing Categorical Values_en.vtt 9.77KB
011 Filling Missing Categorical Values.mp4 64.55MB
011 Getting Your Data Ready Convert Data To Numbers_en.vtt 20.05KB
011 Getting Your Data Ready Convert Data To Numbers.mp4 130.92MB
011 Hadoop, HDFS and MapReduce_en.vtt 4.36KB
011 Hadoop, HDFS and MapReduce.mp4 10.07MB
011 heart-disease.csv 11.06KB
011 Iterables_en.vtt 6.25KB
011 Iterables.mp4 23.53MB
011 Jupyter Notebook Walkthrough_en.vtt 13.64KB
011 Jupyter Notebook Walkthrough.mp4 56.81MB
011 Manipulating Data 3_en.vtt 12.10KB
011 Manipulating Data 3.mp4 76.71MB
011 Modelling - Comparison_en.vtt 11.72KB
011 Modelling - Comparison.mp4 18.23MB
011 Numbers_en.vtt 10.34KB
011 Numbers.mp4 55.10MB
011 Plotting From Pandas DataFrames 2_en.vtt 11.64KB
011 Plotting From Pandas DataFrames 2.mp4 97.25MB
011 Preparing Our Data For Machine Learning_en.vtt 11.26KB
011 Preparing Our Data For Machine Learning.mp4 70.46MB
011 Reshape and Transpose_en.vtt 8.30KB
011 Reshape and Transpose.mp4 51.46MB
011 Using A GPU_en.vtt 11.17KB
011 Using A GPU.mp4 78.90MB
012 Apache Spark and Apache Flink_en.vtt 2.14KB
012 Apache Spark and Apache Flink.mp4 2.93MB
012 Assignment Pandas Practice.html 2.05KB
012 Choosing The Right Models_en.vtt 12.23KB
012 Choosing The Right Models.mp4 94.08MB
012 Contributing To Open Source 2_en.vtt 8.94KB
012 Contributing To Open Source 2.mp4 113.11MB
012 Dot Product vs Element Wise_en.vtt 13.58KB
012 Dot Product vs Element Wise.mp4 69.76MB
012 Exercise Tricky Counter_en.vtt 3.33KB
012 Exercise Tricky Counter.mp4 8.11MB
012 Fitting A Machine Learning Model_en.vtt 9.63KB
012 Fitting A Machine Learning Model.mp4 53.48MB
012 Jupyter Notebook Walkthrough 2_en.vtt 19.54KB
012 Jupyter Notebook Walkthrough 2.mp4 87.67MB
012 Math Functions_en.vtt 4.87KB
012 Math Functions.mp4 25.88MB
012 Note Update to next video (OneHotEncoder can handle NaNNone values).html 1.52KB
012 Optional GPU and Google Colab_en.vtt 5.47KB
012 Optional GPU and Google Colab.mp4 38.21MB
012 Overfitting and Underfitting Definitions.html 1.95KB
012 Plotting from Pandas DataFrames 3_en.vtt 10.21KB
012 Plotting from Pandas DataFrames 3.mp4 73.40MB
013 DEVELOPER FUNDAMENTALS I_en.vtt 4.78KB
013 DEVELOPER FUNDAMENTALS I.mp4 47.73MB
013 Exercise Contribute To Open Source.html 1.29KB
013 Exercise Nut Butter Store Sales_en.vtt 14.77KB
013 Exercise Nut Butter Store Sales.mp4 87.18MB
013 Experimentation_en.vtt 4.45KB
013 Experimentation.mp4 11.55MB
013 Experimenting With Machine Learning Models_en.vtt 8.60KB
013 Experimenting With Machine Learning Models.mp4 53.99MB
013 Getting Your Data Ready Handling Missing Values With Pandas_en.vtt 15.38KB
013 Getting Your Data Ready Handling Missing Values With Pandas.mp4 102.27MB
013 heart-disease.csv 11.06KB
013 How To Download The Course Assignments_en.vtt 9.76KB
013 How To Download The Course Assignments.mp4 64.53MB
013 Jupyter Notebook Walkthrough 3_en.vtt 10.36KB
013 Jupyter Notebook Walkthrough 3.mp4 69.55MB
013 Kafka and Stream Processing_en.vtt 4.60KB
013 Kafka and Stream Processing.mp4 14.35MB
013 Optional Reloading Colab Notebook_en.vtt 7.63KB
013 Optional Reloading Colab Notebook.mp4 89.27MB
013 Plotting from Pandas DataFrames 4_en.vtt 8.55KB
013 Plotting from Pandas DataFrames 4.mp4 40.57MB
013 range()_en.vtt 5.46KB
013 range().mp4 20.79MB
013 Splitting Data_en.vtt 12.31KB
013 Splitting Data.mp4 80.07MB
014 Challenge What's wrong with splitting data after filling it.html 1.72KB
014 Coding Challenges.html 948B
014 Comparison Operators_en.vtt 4.41KB
014 Comparison Operators.mp4 22.01MB
014 enumerate()_en.vtt 4.28KB
014 enumerate().mp4 9.40MB
014 Extension Feature Scaling.html 2.93KB
014 Loading Our Data Labels_en.vtt 13.93KB
014 Loading Our Data Labels.mp4 112.35MB
014 Operator Precedence_en.vtt 2.98KB
014 Operator Precedence.mp4 5.78MB
014 Plotting from Pandas DataFrames 5_en.vtt 10.46KB
014 Plotting from Pandas DataFrames 5.mp4 54.46MB
014 Tools We Will Use_en.vtt 5.34KB
014 Tools We Will Use.mp4 12.91MB
014 TuningImproving Our Model_en.vtt 16.20KB
014 TuningImproving Our Model.mp4 102.77MB
015 Custom Evaluation Function_en.vtt 14.40KB
015 Custom Evaluation Function.mp4 100.73MB
015 Exercise Operator Precedence.html 683B
015 Note Correction in the upcoming video (splitting data).html 2.16KB
015 Optional Elements of AI.html 975B
015 Plotting from Pandas DataFrames 6_en.vtt 10.08KB
015 Plotting from Pandas DataFrames 6.mp4 67.43MB
015 Preparing The Images_en.vtt 12.86KB
015 Preparing The Images.mp4 132.02MB
015 Sorting Arrays_en.vtt 7.64KB
015 Sorting Arrays.mp4 24.26MB
015 Tuning Hyperparameters_en.vtt 14.16KB
015 Tuning Hyperparameters.mp4 106.21MB
015 While Loops_en.vtt 6.66KB
015 While Loops.mp4 13.94MB
016 Getting Your Data Ready Handling Missing Values With Scikit-learn_en.vtt 21.25KB
016 Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 131.31MB
016 numpy-images.zip 7.27MB
016 Optional bin() and complex_en.vtt 4.41KB
016 Optional bin() and complex.mp4 14.45MB
016 Plotting from Pandas DataFrames 7_en.vtt 13.56KB
016 Plotting from Pandas DataFrames 7.mp4 119.01MB
016 Reducing Data_en.vtt 13.15KB
016 Reducing Data.mp4 91.43MB
016 Tuning Hyperparameters 2_en.vtt 13.83KB
016 Tuning Hyperparameters 2.mp4 101.81MB
016 Turn Images Into NumPy Arrays_en.vtt 9.11KB
016 Turn Images Into NumPy Arrays.mp4 71.28MB
016 Turning Data Labels Into Numbers_en.vtt 12.19KB
016 Turning Data Labels Into Numbers.mp4 70.52MB
016 While Loops 2_en.vtt 5.98KB
016 While Loops 2.mp4 11.48MB
017 break, continue, pass_en.vtt 4.67KB
017 break, continue, pass.mp4 9.26MB
017 Creating Our Own Validation Set_en.vtt 10.19KB
017 Creating Our Own Validation Set.mp4 55.57MB
017 Customizing Your Plots_en.vtt 12.32KB
017 Customizing Your Plots.mp4 90.94MB
017 Exercise Imposter Syndrome_en.vtt 3.89KB
017 Exercise Imposter Syndrome.mp4 26.52MB
017 NEW Choosing The Right Model For Your Data_en.vtt 25.57KB
017 NEW Choosing The Right Model For Your Data.mp4 234.14MB
017 RandomizedSearchCV_en.vtt 11.62KB
017 RandomizedSearchCV.mp4 72.06MB
017 Tuning Hyperparameters 3_en.vtt 8.93KB
017 Tuning Hyperparameters 3.mp4 61.52MB
017 Variables_en.vtt 14.35KB
017 Variables.mp4 56.87MB
018 Assignment NumPy Practice.html 2.17KB
018 Customizing Your Plots 2_en.vtt 11.35KB
018 Customizing Your Plots 2.mp4 123.59MB
018 Expressions vs Statements_en.vtt 1.63KB
018 Expressions vs Statements.mp4 3.16MB
018 Improving Hyperparameters_en.vtt 10.23KB
018 Improving Hyperparameters.mp4 78.03MB
018 NEW Choosing The Right Model For Your Data 2 (Regression)_en.vtt 14.50KB
018 NEW Choosing The Right Model For Your Data 2 (Regression).mp4 128.55MB
018 Our First GUI_en.vtt 9.29KB
018 Our First GUI.mp4 46.04MB
018 Preprocess Images_en.vtt 11.81KB
018 Preprocess Images.mp4 88.01MB
018 Quick Note Confusion Matrix Labels.html 1.11KB
019 Augmented Assignment Operator_en.vtt 2.79KB
019 Augmented Assignment Operator.mp4 13.35MB
019 DEVELOPER FUNDAMENTALS IV_en.vtt 7.15KB
019 DEVELOPER FUNDAMENTALS IV.mp4 24.69MB
019 Evaluating Our Model_en.vtt 13.71KB
019 Evaluating Our Model.mp4 68.07MB
019 Optional Extra NumPy resources.html 1.02KB
019 Preproccessing Our Data_en.vtt 15.56KB
019 Preproccessing Our Data.mp4 138.17MB
019 Preprocess Images 2_en.vtt 11.90KB
019 Preprocess Images 2.mp4 103.44MB
019 Quick Note Decision Trees.html 221B
019 Saving And Sharing Your Plots_en.vtt 5.42KB
019 Saving And Sharing Your Plots.mp4 49.68MB
020 Assignment Matplotlib Practice.html 2.05KB
020 Evaluating Our Model 2_en.vtt 6.98KB
020 Evaluating Our Model 2.mp4 34.64MB
020 Exercise Find Duplicates_en.vtt 3.84KB
020 Exercise Find Duplicates.mp4 10.29MB
020 Making Predictions_en.vtt 9.75KB
020 Making Predictions.mp4 28.67MB
020 Quick Tip How ML Algorithms Work_en.vtt 1.64KB
020 Quick Tip How ML Algorithms Work.mp4 6.36MB
020 Strings_en.vtt 5.65KB
020 Strings.mp4 11.19MB
020 Turning Data Into Batches_en.vtt 10.66KB
020 Turning Data Into Batches.mp4 74.64MB
021 Choosing The Right Model For Your Data 3 (Classification)_en.vtt 15.80KB
021 Choosing The Right Model For Your Data 3 (Classification).mp4 115.90MB
021 Evaluating Our Model 3_en.vtt 10.37KB
021 Evaluating Our Model 3.mp4 62.15MB
021 Feature Importance_en.vtt 15.73KB
021 Feature Importance.mp4 140.53MB
021 Functions_en.vtt 8.13KB
021 Functions.mp4 21.27MB
021 String Concatenation_en.vtt 1.17KB
021 String Concatenation.mp4 2.50MB
021 Turning Data Into Batches 2_en.vtt 18.75KB
021 Turning Data Into Batches 2.mp4 126.96MB
022 Finding The Most Important Features_en.vtt 20.15KB
022 Finding The Most Important Features.mp4 123.66MB
022 Fitting A Model To The Data_en.vtt 8.71KB
022 Fitting A Model To The Data.mp4 38.40MB
022 Parameters and Arguments_en.vtt 4.36KB
022 Parameters and Arguments.mp4 11.29MB
022 Type Conversion_en.vtt 2.95KB
022 Type Conversion.mp4 14.60MB
022 Visualizing Our Data_en.vtt 13.18KB
022 Visualizing Our Data.mp4 120.07MB
023 Default Parameters and Keyword Arguments_en.vtt 5.45KB
023 Default Parameters and Keyword Arguments.mp4 18.12MB
023 Escape Sequences_en.vtt 4.49KB
023 Escape Sequences.mp4 8.68MB
023 Making Predictions With Our Model_en.vtt 11.01KB
023 Making Predictions With Our Model.mp4 64.20MB
023 Preparing Our Inputs and Outputs_en.vtt 7.00KB
023 Preparing Our Inputs and Outputs.mp4 47.95MB
023 Reviewing The Project_en.vtt 12.79KB
023 Reviewing The Project.mp4 84.81MB
024 Formatted Strings_en.vtt 8.26KB
024 Formatted Strings.mp4 21.81MB
024 Optional How machines learn and what's going on behind the scenes.html 2.72KB
024 predict() vs predict_proba()_en.vtt 10.46KB
024 predict() vs predict_proba().mp4 39.10MB
024 return_en.vtt 13.63KB
024 return.mp4 36.79MB
025 Building A Deep Learning Model_en.vtt 14.85KB
025 Building A Deep Learning Model.mp4 102.61MB
025 Exercise Tesla.html 402B
025 NEW Making Predictions With Our Model (Regression)_en.vtt 10.92KB
025 NEW Making Predictions With Our Model (Regression).mp4 79.24MB
025 String Indexes_en.vtt 8.53KB
025 String Indexes.mp4 17.42MB
026 Building A Deep Learning Model 2_en.vtt 11.18KB
026 Building A Deep Learning Model 2.mp4 88.56MB
026 Immutability_en.vtt 3.16KB
026 Immutability.mp4 6.65MB
026 Methods vs Functions_en.vtt 4.97KB
026 Methods vs Functions.mp4 22.10MB
026 NEW Evaluating A Machine Learning Model (Score) Part 1_en.vtt 12.47KB
026 NEW Evaluating A Machine Learning Model (Score) Part 1.mp4 83.49MB
027 Building A Deep Learning Model 3_en.vtt 10.75KB
027 Building A Deep Learning Model 3.mp4 105.33MB
027 Built-In Functions + Methods_en.vtt 9.60KB
027 Built-In Functions + Methods.mp4 44.07MB
027 Docstrings_en.vtt 3.96KB
027 Docstrings.mp4 10.25MB
027 NEW Evaluating A Machine Learning Model (Score) Part 2_en.vtt 8.71KB
027 NEW Evaluating A Machine Learning Model (Score) Part 2.mp4 52.96MB
028 Booleans_en.vtt 3.55KB
028 Booleans.mp4 7.45MB
028 Building A Deep Learning Model 4_en.vtt 11.14KB
028 Building A Deep Learning Model 4.mp4 86.42MB
028 Clean Code_en.vtt 4.70KB
028 Clean Code.mp4 17.58MB
028 Evaluating A Machine Learning Model 2 (Cross Validation)_en.vtt 15.85KB
028 Evaluating A Machine Learning Model 2 (Cross Validation).mp4 46.72MB
029 args and kwargs_en.vtt 7.28KB
029 args and kwargs.mp4 17.54MB
029 Evaluating A Classification Model 1 (Accuracy)_en.vtt 5.33KB
029 Evaluating A Classification Model 1 (Accuracy).mp4 29.85MB
029 Exercise Type Conversion_en.vtt 7.88KB
029 Exercise Type Conversion.mp4 21.75MB
029 Summarizing Our Model_en.vtt 5.36KB
029 Summarizing Our Model.mp4 44.43MB
030 DEVELOPER FUNDAMENTALS II_en.vtt 4.85KB
030 DEVELOPER FUNDAMENTALS II.mp4 18.67MB
030 Evaluating A Classification Model 2 (ROC Curve)_en.vtt 10.94KB
030 Evaluating A Classification Model 2 (ROC Curve).mp4 63.09MB
030 Evaluating Our Model_en.vtt 9.83KB
030 Evaluating Our Model.mp4 67.09MB
030 Exercise Functions_en.vtt 4.30KB
030 Exercise Functions.mp4 10.66MB
031 Evaluating A Classification Model 3 (ROC Curve)_en.vtt 9.02KB
031 Evaluating A Classification Model 3 (ROC Curve).mp4 47.70MB
031 Exercise Password Checker_en.vtt 6.93KB
031 Exercise Password Checker.mp4 24.55MB
031 Preventing Overfitting_en.vtt 4.88KB
031 Preventing Overfitting.mp4 35.26MB
031 Scope_en.vtt 3.50KB
031 Scope.mp4 8.10MB
032 Lists_en.vtt 5.19KB
032 Lists.mp4 8.90MB
032 Reading Extension ROC Curve + AUC.html 1.48KB
032 Scope Rules_en.vtt 7.02KB
032 Scope Rules.mp4 18.90MB
032 Training Your Deep Neural Network_en.vtt 21.50KB
032 Training Your Deep Neural Network.mp4 163.18MB
033 Evaluating A Classification Model 4 (Confusion Matrix)_en.vtt 13.63KB
033 Evaluating A Classification Model 4 (Confusion Matrix).mp4 25.73MB
033 Evaluating Performance With TensorBoard_en.vtt 8.80KB
033 Evaluating Performance With TensorBoard.mp4 73.28MB
033 global Keyword_en.vtt 6.24KB
033 global Keyword.mp4 21.37MB
033 List Slicing_en.vtt 7.51KB
033 List Slicing.mp4 17.54MB
034 Make And Transform Predictions_en.vtt 17.46KB
034 Make And Transform Predictions.mp4 153.65MB
034 Matrix_en.vtt 4.14KB
034 Matrix.mp4 8.72MB
034 NEW Evaluating A Classification Model 5 (Confusion Matrix)_en.vtt 18.18KB
034 NEW Evaluating A Classification Model 5 (Confusion Matrix).mp4 106.56MB
034 nonlocal Keyword_en.vtt 3.63KB
034 nonlocal Keyword.mp4 9.34MB
035 Evaluating A Classification Model 6 (Classification Report)_en.vtt 12.99KB
035 Evaluating A Classification Model 6 (Classification Report).mp4 84.93MB
035 List Methods_en.vtt 10.18KB
035 List Methods.mp4 40.19MB
035 Transform Predictions To Text_en.vtt 16.42KB
035 Transform Predictions To Text.mp4 126.30MB
035 Why Do We Need Scope_en.vtt 4.28KB
035 Why Do We Need Scope.mp4 8.64MB
036 List Methods 2_en.vtt 4.41KB
036 List Methods 2.mp4 17.63MB
036 NEW Evaluating A Regression Model 1 (R2 Score)_en.vtt 12.89KB
036 NEW Evaluating A Regression Model 1 (R2 Score).mp4 99.55MB
036 Pure Functions_en.vtt 9.40KB
036 Pure Functions.mp4 30.02MB
036 Visualizing Model Predictions_en.vtt 15.44KB
036 Visualizing Model Predictions.mp4 115.62MB
037 List Methods 3_en.vtt 4.72KB
037 List Methods 3.mp4 18.30MB
037 map()_en.vtt 6.05KB
037 map().mp4 33.46MB
037 NEW Evaluating A Regression Model 2 (MAE)_en.vtt 8.84KB
037 NEW Evaluating A Regression Model 2 (MAE).mp4 42.90MB
037 Visualizing And Evaluate Model Predictions 2_en.vtt 15.59KB
037 Visualizing And Evaluate Model Predictions 2.mp4 63.49MB
038 Common List Patterns_en.vtt 5.59KB
038 Common List Patterns.mp4 16.82MB
038 filter()_en.vtt 4.69KB
038 filter().mp4 9.92MB
038 NEW Evaluating A Regression Model 3 (MSE)_en.vtt 11.67KB
038 NEW Evaluating A Regression Model 3 (MSE).mp4 75.54MB
038 Visualizing And Evaluate Model Predictions 3_en.vtt 12.28KB
038 Visualizing And Evaluate Model Predictions 3.mp4 112.65MB
039 List Unpacking_en.vtt 2.69KB
039 List Unpacking.mp4 6.20MB
039 Machine Learning Model Evaluation.html 7.12KB
039 Saving And Loading A Trained Model_en.vtt 14.89KB
039 Saving And Loading A Trained Model.mp4 54.07MB
039 zip()_en.vtt 2.95KB
039 zip().mp4 10.18MB
040 NEW Evaluating A Model With Cross Validation and Scoring Parameter_en.vtt 31.31KB
040 NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 224.79MB
040 None_en.vtt 1.99KB
040 None.mp4 3.08MB
040 reduce()_en.vtt 7.95KB
040 reduce().mp4 27.69MB
040 Training Model On Full Dataset_en.vtt 17.29KB
040 Training Model On Full Dataset.mp4 137.65MB
041 Dictionaries_en.vtt 6.85KB
041 Dictionaries.mp4 12.48MB
041 List Comprehensions_en.vtt 8.50KB
041 List Comprehensions.mp4 24.29MB
041 Making Predictions On Test Images_en.vtt 18.36KB
041 Making Predictions On Test Images.mp4 119.93MB
041 NEW Evaluating A Model With Scikit-learn Functions_en.vtt 17.23KB
041 NEW Evaluating A Model With Scikit-learn Functions.mp4 130.44MB
042 DEVELOPER FUNDAMENTALS III_en.vtt 3.05KB
042 DEVELOPER FUNDAMENTALS III.mp4 8.66MB
042 Improving A Machine Learning Model_en.vtt 13.34KB
042 Improving A Machine Learning Model.mp4 87.27MB
042 Set Comprehensions_en.vtt 5.96KB
042 Set Comprehensions.mp4 17.08MB
042 Submitting Model to Kaggle_en.vtt 14.81KB
042 Submitting Model to Kaggle.mp4 102.00MB
043 Dictionary Keys_en.vtt 3.48KB
043 Dictionary Keys.mp4 7.88MB
043 Exercise Comprehensions_en.vtt 4.50KB
043 Exercise Comprehensions.mp4 9.64MB
043 Making Predictions On Our Images_en.vtt 17.24KB
043 Making Predictions On Our Images.mp4 119.39MB
043 Tuning Hyperparameters_en.vtt 27.95KB
043 Tuning Hyperparameters.mp4 168.05MB
044 Dictionary Methods_en.vtt 4.92KB
044 Dictionary Methods.mp4 10.07MB
044 Finishing Dog Vision Where to next.html 3.86KB
044 Python Exam Testing Your Understanding.html 1.12KB
044 Tuning Hyperparameters 2_en.vtt 15.56KB
044 Tuning Hyperparameters 2.mp4 112.39MB
045 Dictionary Methods 2_en.vtt 6.60KB
045 Dictionary Methods 2.mp4 28.18MB
045 Modules in Python_en.vtt 11.55KB
045 Modules in Python.mp4 78.21MB
045 Tuning Hyperparameters 3_en.vtt 17.63KB
045 Tuning Hyperparameters 3.mp4 118.20MB
046 Note Metric Comparison Improvement.html 2.18KB
046 Quick Note Upcoming Videos.html 448B
046 Tuples_en.vtt 5.19KB
046 Tuples.mp4 9.99MB
047 Optional PyCharm_en.vtt 9.21KB
047 Optional PyCharm.mp4 25.34MB
047 Quick Tip Correlation Analysis_en.vtt 2.67KB
047 Quick Tip Correlation Analysis.mp4 16.41MB
047 Tuples 2_en.vtt 3.00KB
047 Tuples 2.mp4 7.45MB
048 Packages in Python_en.vtt 11.23KB
048 Packages in Python.mp4 61.85MB
048 Saving And Loading A Model_en.vtt 8.90KB
048 Saving And Loading A Model.mp4 44.06MB
048 Sets_en.vtt 7.75KB
048 Sets.mp4 24.25MB
049 Different Ways To Import_en.vtt 7.10KB
049 Different Ways To Import.mp4 23.94MB
049 Saving And Loading A Model 2_en.vtt 8.11KB
049 Saving And Loading A Model 2.mp4 47.61MB
049 Sets 2_en.vtt 8.59KB
049 Sets 2.mp4 52.47MB
050 Next Steps.html 959B
050 Putting It All Together_en.vtt 25.00KB
050 Putting It All Together.mp4 143.19MB
051 Bonus Resource Python Cheatsheet.html 489B
051 Putting It All Together 2_en.vtt 14.44KB
051 Putting It All Together 2.mp4 114.25MB
052 Scikit-Learn Practice.html 2.07KB
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