[Udemy] Complete Machine Learning & Data Science Bootcamp 2022 (11.2021)

磁力链接/BT种子名称

[Udemy] Complete Machine Learning & Data Science Bootcamp 2022 (11.2021)

磁力链接/BT种子简介

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收录时间：2022-02-03
最近下载：2025-05-31

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文件列表

  • 09 - Scikit-learn_ Creating Machine Learning Models/017 NEW_ Choosing The Right Model For Your Data.mp4 245.7 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/040 NEW_ Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.8 MB
  • 05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 200.2 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.6 MB
  • 16 - Career Advice + Extra Bits/009 CWD_ Git + Github.mp4 184.8 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/008 Optional_ Debugging Warnings In Jupyter.mp4 179.8 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.1 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.0 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.0 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.2 MB
  • 16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience_.mp4 154.5 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4 151.2 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/050 Putting It All Together.mp4 150.2 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/037 Visualizing And Evaluate Model Predictions 2.mp4 147.1 MB
  • 05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.3 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/010 Finding Patterns 3.mp4 142.5 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4 142.1 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 138.5 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/016 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4 137.7 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/011 Getting Your Data Ready_ Convert Data To Numbers.mp4 137.2 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/041 NEW_ Evaluating A Model With Scikit-learn Functions.mp4 136.7 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/018 NEW_ Choosing The Right Model For Your Data 2 (Regression).mp4 134.9 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/021 Turning Data Into Batches 2.mp4 133.2 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/035 Transform Predictions To Text.mp4 132.4 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/039 Saving And Loading A Trained Model.mp4 130.9 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/022 Finding The Most Important Features.mp4 129.7 MB
  • 08 - Matplotlib_ Plotting and Data Visualization/018 Customizing Your Plots 2.mp4 129.7 MB
  • 05 - Data Science Environment Setup/006 Mac Environment Setup 2.mp4 128.1 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/025 Building A Deep Learning Model.mp4 126.0 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/041 Making Predictions On Test Images.mp4 125.9 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/022 Visualizing Our Data.mp4 125.9 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/043 Making Predictions On Our Images.mp4 125.2 MB
  • 08 - Matplotlib_ Plotting and Data Visualization/016 Plotting from Pandas DataFrames 7.mp4 124.7 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/045 Tuning Hyperparameters 3.mp4 123.9 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/044 Tuning Hyperparameters 2.mp4 122.5 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/021 Choosing The Right Model For Your Data 3 (Classification).mp4 121.5 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/036 Visualizing Model Predictions.mp4 121.3 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/019 Preproccessing Our Data.mp4 120.2 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/009 Importing TensorFlow 2.mp4 120.0 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/051 Putting It All Together 2.mp4 119.7 MB
  • 16 - Career Advice + Extra Bits/012 Contributing To Open Source 2.mp4 118.5 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/038 Visualizing And Evaluate Model Predictions 3.mp4 118.0 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/014 Loading Our Data Labels.mp4 117.8 MB
  • 16 - Career Advice + Extra Bits/011 Contributing To Open Source.mp4 114.7 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/034 NEW_ Evaluating A Classification Model 5 (Confusion Matrix).mp4 111.7 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/015 Tuning Hyperparameters.mp4 111.4 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/027 Building A Deep Learning Model 3.mp4 110.5 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/016 Turning Data Labels Into Numbers.mp4 110.1 MB
  • 06 - Pandas_ Data Analysis/008 Selecting and Viewing Data with Pandas Part 2.mp4 108.5 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/010 Filling Missing Numerical Values.mp4 108.4 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/014 Tuning_Improving Our Model.mp4 107.8 MB
  • 16 - Career Advice + Extra Bits/010 CWD_ Git + Github 2.mp4 107.6 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/005 Step 1~4 Framework Setup.mp4 107.3 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/042 Submitting Model to Kaggle.mp4 106.9 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/016 Tuning Hyperparameters 2.mp4 106.7 MB
  • 06 - Pandas_ Data Analysis/009 Manipulating Data.mp4 105.7 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/036 NEW_ Evaluating A Regression Model 1 (R2 Score).mp4 104.3 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/004 Project Environment Setup.mp4 103.9 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/003 Project Environment Setup.mp4 102.8 MB
  • 08 - Matplotlib_ Plotting and Data Visualization/011 Plotting From Pandas DataFrames 2.mp4 102.0 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/012 Choosing The Right Models.mp4 101.0 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/009 Finding Patterns 2.mp4 98.9 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/016 Reducing Data.mp4 95.9 MB
  • 06 - Pandas_ Data Analysis/004 Series, Data Frames and CSVs.mp4 95.5 MB
  • 08 - Matplotlib_ Plotting and Data Visualization/017 Customizing Your Plots.mp4 95.4 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/042 Improving A Machine Learning Model.mp4 95.3 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/026 Building A Deep Learning Model 2.mp4 92.9 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/018 Preprocess Images.mp4 92.4 MB
  • 05 - Data Science Environment Setup/012 Jupyter Notebook Walkthrough 2.mp4 91.9 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/019 Preprocess Images 2.mp4 91.4 MB
  • 07 - NumPy/013 Exercise_ Nut Butter Store Sales.mp4 91.4 MB
  • 08 - Matplotlib_ Plotting and Data Visualization/003 Importing And Using Matplotlib.mp4 90.7 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/035 Evaluating A Classification Model 6 (Classification Report).mp4 89.1 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/023 Reviewing The Project.mp4 88.9 MB
  • 06 - Pandas_ Data Analysis/010 Manipulating Data 2.mp4 88.4 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/005 Step 1~4 Framework Setup.mp4 88.2 MB
  • 07 - NumPy/012 Dot Product vs Element Wise.mp4 87.7 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/028 Evaluating A Machine Learning Model 2 (Cross Validation).mp4 85.4 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/025 NEW_ Making Predictions With Our Model (Regression).mp4 83.1 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/011 Using A GPU.mp4 82.7 MB
  • 18 - Learn Python Part 2/045 Modules in Python.mp4 81.9 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/018 Improving Hyperparameters.mp4 81.8 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/033 Evaluating A Classification Model 4 (Confusion Matrix).mp4 81.5 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/020 Making Predictions.mp4 81.2 MB
  • 01 - Introduction/001 Course Outline.mp4 81.0 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/006 Getting Our Tools Ready.mp4 80.5 MB
  • 06 - Pandas_ Data Analysis/011 Manipulating Data 3.mp4 80.5 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/006 Scikit-learn Cheatsheet.mp4 78.8 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/020 Turning Data Into Batches.mp4 78.2 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/004 Setting Up Google Colab.mp4 77.3 MB
  • 08 - Matplotlib_ Plotting and Data Visualization/012 Plotting from Pandas DataFrames 3.mp4 76.9 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/033 Evaluating Performance With TensorBoard.mp4 76.9 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/017 RandomizedSearchCV.mp4 75.6 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/028 Building A Deep Learning Model 4.mp4 75.5 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/013 Optional_ Reloading Colab Notebook.mp4 75.4 MB
  • 07 - NumPy/016 Turn Images Into NumPy Arrays.mp4 74.7 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/011 Preparing Our Data For Machine Learning.mp4 73.8 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/002 Deep Learning and Unstructured Data.mp4 73.2 MB
  • 05 - Data Science Environment Setup/013 Jupyter Notebook Walkthrough 3.mp4 73.0 MB
  • 17 - Learn Python/002 Python Interpreter.mp4 71.9 MB
  • 07 - NumPy/008 Manipulating Arrays.mp4 71.8 MB
  • 13 - Data Engineering/009 Optional_ OLTP Databases.mp4 71.6 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/019 Evaluating Our Model.mp4 71.4 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/015 Custom Evaluation Function.mp4 70.8 MB
  • 08 - Matplotlib_ Plotting and Data Visualization/015 Plotting from Pandas DataFrames 6.mp4 70.8 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/030 Evaluating Our Model.mp4 70.4 MB
  • 17 - Learn Python/006 Python 2 vs Python 3.mp4 69.0 MB
  • 06 - Pandas_ Data Analysis/013 How To Download The Course Assignments.mp4 67.8 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/011 Filling Missing Categorical Values.mp4 67.7 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/007 Exploring Our Data.mp4 67.6 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/023 Making Predictions With Our Model.mp4 67.2 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/021 Evaluating Our Model 3.mp4 65.1 MB
  • 18 - Learn Python Part 2/048 Packages in Python.mp4 64.8 MB
  • 06 - Pandas_ Data Analysis/007 Selecting and Viewing Data with Pandas.mp4 64.7 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/017 Tuning Hyperparameters 3.mp4 64.5 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/009 Getting Your Data Ready_ Splitting Your Data.mp4 64.0 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/008 Finding Patterns.mp4 63.2 MB
  • 07 - NumPy/007 Viewing Arrays and Matrices.mp4 62.2 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/038 NEW_ Evaluating A Regression Model 3 (MSE).mp4 61.6 MB
  • 07 - NumPy/009 Manipulating Arrays 2.mp4 60.8 MB
  • 08 - Matplotlib_ Plotting and Data Visualization/006 Histograms And Subplots.mp4 60.3 MB
  • 17 - Learn Python/017 Variables.mp4 59.6 MB
  • 05 - Data Science Environment Setup/011 Jupyter Notebook Walkthrough.mp4 59.6 MB
  • 07 - NumPy/004 NumPy DataTypes and Attributes.mp4 59.3 MB
  • 18 - Learn Python Part 2/002 Conditional Logic.mp4 59.3 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/030 Evaluating A Classification Model 2 (ROC Curve).mp4 59.1 MB
  • 07 - NumPy/005 Creating NumPy Arrays.mp4 58.8 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/017 Creating Our Own Validation Set.mp4 58.2 MB
  • 17 - Learn Python/011 Numbers.mp4 57.7 MB
  • 08 - Matplotlib_ Plotting and Data Visualization/014 Plotting from Pandas DataFrames 5.mp4 57.0 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/013 Experimenting With Machine Learning Models.mp4 56.6 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/012 Fitting A Machine Learning Model.mp4 56.1 MB
  • 08 - Matplotlib_ Plotting and Data Visualization/004 Anatomy Of A Matplotlib Figure.mp4 55.8 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/027 NEW_ Evaluating A Machine Learning Model (Score) Part 2.mp4 55.5 MB
  • 17 - Learn Python/049 Sets 2.mp4 55.0 MB
  • 07 - NumPy/011 Reshape and Transpose.mp4 53.9 MB
  • 06 - Pandas_ Data Analysis/006 Describing Data with Pandas.mp4 53.7 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/007 Exploring Our Data 2.mp4 53.2 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/048 Saving And Loading A Model.mp4 52.9 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/006 Uploading Project Data.mp4 52.6 MB
  • 08 - Matplotlib_ Plotting and Data Visualization/019 Saving And Sharing Your Plots.mp4 52.0 MB
  • 08 - Matplotlib_ Plotting and Data Visualization/009 Plotting From Pandas DataFrames.mp4 51.9 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/040 Training Model On Full Dataset.mp4 50.9 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/023 Preparing Our Inputs and Outputs.mp4 50.3 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/031 Evaluating A Classification Model 3 (ROC Curve).mp4 50.0 MB
  • 17 - Learn Python/013 DEVELOPER FUNDAMENTALS_ I.mp4 50.0 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/049 Saving And Loading A Model 2.mp4 50.0 MB
  • 18 - Learn Python Part 2/018 Our First GUI.mp4 48.3 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/013 Getting Your Data Ready_ Handling Missing Values With Pandas.mp4 47.8 MB
  • 08 - Matplotlib_ Plotting and Data Visualization/005 Scatter Plot And Bar Plot.mp4 46.8 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/029 Summarizing Our Model.mp4 46.5 MB
  • 17 - Learn Python/027 Built-In Functions + Methods.mp4 46.2 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/037 NEW_ Evaluating A Regression Model 2 (MAE).mp4 45.0 MB
  • 02 - Machine Learning 101/003 Exercise_ Machine Learning Playground.mp4 44.6 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/007 Setting Up Our Data.mp4 43.4 MB
  • 17 - Learn Python/035 List Methods.mp4 42.1 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/024 predict() vs predict_proba().mp4 41.0 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/022 Fitting A Model To The Data.mp4 40.3 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/012 Optional_ GPU and Google Colab.mp4 40.2 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/013 Splitting Data.mp4 38.8 MB
  • 07 - NumPy/010 Standard Deviation and Variance.mp4 38.6 MB
  • 18 - Learn Python Part 2/024 return.mp4 38.6 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/026 NEW_ Evaluating A Machine Learning Model (Score) Part 1.mp4 38.3 MB
  • 07 - NumPy/006 NumPy Random Seed.mp4 38.2 MB
  • 17 - Learn Python/003 How To Run Python Code.mp4 38.2 MB
  • 18 - Learn Python Part 2/004 Truthy vs Falsey.mp4 38.1 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/031 Preventing Overfitting.mp4 37.0 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/020 Evaluating Our Model 2.mp4 36.3 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/004 Optional_ Windows Project Environment Setup.mp4 36.2 MB
  • 18 - Learn Python Part 2/037 map().mp4 35.1 MB
  • 05 - Data Science Environment Setup/007 Windows Environment Setup.mp4 34.5 MB
  • 18 - Learn Python Part 2/029 _args and __kwargs.mp4 34.4 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/005 Google Colab Workspace.mp4 33.8 MB
  • 08 - Matplotlib_ Plotting and Data Visualization/007 Subplots Option 2.mp4 32.8 MB
  • 02 - Machine Learning 101/004 How Did We Get Here_.mp4 32.0 MB
  • 18 - Learn Python Part 2/036 Pure Functions.mp4 31.5 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/029 Evaluating A Classification Model 1 (Accuracy).mp4 31.3 MB
  • 17 - Learn Python/004 Our First Python Program.mp4 31.3 MB
  • 02 - Machine Learning 101/001 What Is Machine Learning_.mp4 29.7 MB
  • 17 - Learn Python/045 Dictionary Methods 2.mp4 29.6 MB
  • 18 - Learn Python Part 2/026 Methods vs Functions.mp4 27.6 MB
  • 17 - Learn Python/012 Math Functions.mp4 27.2 MB
  • 18 - Learn Python Part 2/047 Optional_ PyCharm.mp4 26.6 MB
  • 18 - Learn Python Part 2/019 DEVELOPER FUNDAMENTALS_ IV.mp4 25.9 MB
  • 17 - Learn Python/037 List Methods 3.mp4 25.6 MB
  • 13 - Data Engineering/007 Types Of Databases.mp4 25.5 MB
  • 18 - Learn Python Part 2/041 List Comprehensions.mp4 25.5 MB
  • 07 - NumPy/015 Sorting Arrays.mp4 25.5 MB
  • 17 - Learn Python/048 Sets.mp4 25.4 MB
  • 13 - Data Engineering/004 What Is A Data Engineer 2_.mp4 25.4 MB
  • 18 - Learn Python Part 2/049 Different Ways To Import.mp4 25.1 MB
  • 18 - Learn Python Part 2/040 reduce().mp4 24.9 MB
  • 18 - Learn Python Part 2/011 Iterables.mp4 24.7 MB
  • 03 - Machine Learning and Data Science Framework/003 6 Step Machine Learning Framework.mp4 24.6 MB
  • 07 - NumPy/014 Comparison Operators.mp4 23.1 MB
  • 17 - Learn Python/024 Formatted Strings.mp4 22.9 MB
  • 17 - Learn Python/029 Exercise_ Type Conversion.mp4 22.8 MB
  • 18 - Learn Python Part 2/033 global Keyword.mp4 22.4 MB
  • 18 - Learn Python Part 2/021 Functions.mp4 22.3 MB
  • 17 - Learn Python/031 Exercise_ Password Checker.mp4 22.3 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/008 Setting Up Our Data 2.mp4 22.0 MB
  • 03 - Machine Learning and Data Science Framework/004 Types of Machine Learning Problems.mp4 22.0 MB
  • 08 - Matplotlib_ Plotting and Data Visualization/002 Matplotlib Introduction.mp4 21.9 MB
  • 18 - Learn Python Part 2/013 range().mp4 21.8 MB
  • 03 - Machine Learning and Data Science Framework/005 Types of Data.mp4 21.0 MB
  • 02 - Machine Learning 101/002 AI_Machine Learning_Data Science.mp4 20.6 MB
  • 05 - Data Science Environment Setup/002 Introducing Our Tools.mp4 20.2 MB
  • 18 - Learn Python Part 2/008 Exercise_ Logical Operators.mp4 20.0 MB
  • 18 - Learn Python Part 2/032 Scope Rules.mp4 19.8 MB
  • 17 - Learn Python/001 What Is A Programming Language.mp4 19.7 MB
  • 17 - Learn Python/030 DEVELOPER FUNDAMENTALS_ II.mp4 19.6 MB
  • 03 - Machine Learning and Data Science Framework/011 Modelling - Comparison.mp4 19.1 MB
  • 18 - Learn Python Part 2/023 Default Parameters and Keyword Arguments.mp4 19.0 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/004 Refresher_ What Is Machine Learning_.mp4 18.7 MB
  • 17 - Learn Python/036 List Methods 2.mp4 18.5 MB
  • 18 - Learn Python Part 2/028 Clean Code.mp4 18.4 MB
  • 17 - Learn Python/033 List Slicing.mp4 18.4 MB
  • 17 - Learn Python/025 String Indexes.mp4 18.3 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/002 Scikit-learn Introduction.mp4 18.0 MB
  • 18 - Learn Python Part 2/042 Set Comprehensions.mp4 17.9 MB
  • 17 - Learn Python/038 Common List Patterns.mp4 17.6 MB
  • 18 - Learn Python Part 2/010 For Loops.mp4 17.2 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/047 Quick Tip_ Correlation Analysis.mp4 17.1 MB
  • 03 - Machine Learning and Data Science Framework/010 Modelling - Tuning.mp4 16.8 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/002 Project Overview.mp4 16.6 MB
  • 13 - Data Engineering/002 What Is Data_.mp4 16.0 MB
  • 18 - Learn Python Part 2/009 is vs ==.mp4 15.8 MB
  • 03 - Machine Learning and Data Science Framework/007 Features In Data.mp4 15.6 MB
  • 05 - Data Science Environment Setup/004 Conda Environments.mp4 15.3 MB
  • 18 - Learn Python Part 2/007 Logical Operators.mp4 15.3 MB
  • 17 - Learn Python/022 Type Conversion.mp4 15.3 MB
  • 13 - Data Engineering/013 Kafka and Stream Processing.mp4 15.1 MB
  • 08 - Matplotlib_ Plotting and Data Visualization/013 Plotting from Pandas DataFrames 4.mp4 15.0 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/010 Optional_ TensorFlow 2.0 Default Issue.mp4 14.7 MB
  • 18 - Learn Python Part 2/015 While Loops.mp4 14.6 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/002 Project Overview.mp4 14.3 MB
  • 07 - NumPy/002 NumPy Introduction.mp4 14.3 MB
  • 13 - Data Engineering/005 What Is A Data Engineer 3_.mp4 13.8 MB
  • 03 - Machine Learning and Data Science Framework/014 Tools We Will Use.mp4 13.5 MB
  • 17 - Learn Python/041 Dictionaries.mp4 13.1 MB
  • 05 - Data Science Environment Setup/003 What is Conda_.mp4 13.1 MB
  • 17 - Learn Python/009 Python Data Types.mp4 12.5 MB
  • 02 - Machine Learning 101/008 What Is Machine Learning_ Round 2.mp4 12.4 MB
  • 03 - Machine Learning and Data Science Framework/013 Experimentation.mp4 12.1 MB
  • 18 - Learn Python Part 2/016 While Loops 2.mp4 12.0 MB
  • 18 - Learn Python Part 2/003 Indentation In Python.mp4 11.9 MB
  • 03 - Machine Learning and Data Science Framework/008 Modelling - Splitting Data.mp4 11.9 MB
  • 17 - Learn Python/020 Strings.mp4 11.7 MB
  • 06 - Pandas_ Data Analysis/003 Pandas Introduction.mp4 11.6 MB
  • 18 - Learn Python Part 2/030 Exercise_ Functions.mp4 11.2 MB
  • 17 - Learn Python/016 Optional_ bin() and complex.mp4 11.2 MB
  • 15 - Storytelling + Communication_ How To Present Your Work/005 Weekend Project Principle.mp4 10.8 MB
  • 18 - Learn Python Part 2/027 Docstrings.mp4 10.7 MB
  • 18 - Learn Python Part 2/039 zip().mp4 10.7 MB
  • 17 - Learn Python/044 Dictionary Methods.mp4 10.6 MB
  • 17 - Learn Python/046 Tuples.mp4 10.5 MB
  • 18 - Learn Python Part 2/038 filter().mp4 10.4 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/010 Quick Tip_ Clean, Transform, Reduce.mp4 10.2 MB
  • 18 - Learn Python Part 2/043 Exercise_ Comprehensions.mp4 10.1 MB
  • 02 - Machine Learning 101/006 Types of Machine Learning.mp4 10.1 MB
  • 13 - Data Engineering/003 What Is A Data Engineer_.mp4 10.0 MB
  • 18 - Learn Python Part 2/014 enumerate().mp4 9.9 MB
  • 17 - Learn Python/007 Exercise_ How Does Python Work_.mp4 9.8 MB
  • 18 - Learn Python Part 2/034 nonlocal Keyword.mp4 9.8 MB
  • 18 - Learn Python Part 2/022 Parameters and Arguments.mp4 9.8 MB
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