[06-2020] complete-machine-learning-and-data-science-zero-to-mastery

磁力链接/BT种子名称

[06-2020] complete-machine-learning-and-data-science-zero-to-mastery

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文件列表

  • 16 Career Advice + Extra Bits/261 CWD_ Git + Github.mp4 380.9 MB
  • 05 Data Science Environment Setup/038 Windows Environment Setup 2.mp4 366.1 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/101 Typical scikit-learn Workflow.mp4 353.9 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/102 Optional_ Debugging Warnings In Jupyter.mp4 338.8 MB
  • 16 Career Advice + Extra Bits/255 What If I Don't Have Enough Experience_.mp4 328.1 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/135 Tuning Hyperparameters.mp4 326.6 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/232 Training Your Deep Neural Network.mp4 313.1 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/142 Putting It All Together.mp4 298.5 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/234 Make And Transform Predictions.mp4 294.0 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/175 Turning Data Into Numbers.mp4 280.0 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/110 Choosing The Right Model For Your Data.mp4 275.4 MB
  • 05 Data Science Environment Setup/035 Mac Environment Setup.mp4 275.4 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/185 Preproccessing Our Data.mp4 272.4 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/237 Visualizing And Evaluate Model Predictions 2.mp4 267.6 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/187 Feature Importance.mp4 267.4 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/172 Exploring Our Data.mp4 265.1 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/240 Training Model On Full Dataset.mp4 264.9 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/154 Finding Patterns 3.mp4 262.3 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/215 Preparing The Images.mp4 256.6 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/109 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4 254.4 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/105 Getting Your Data Ready_ Convert Data To Numbers.mp4 249.7 MB
  • 08 Matplotlib_ Plotting and Data Visualization/092 Customizing Your Plots 2.mp4 247.4 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/235 Transform Predictions To Text.mp4 241.1 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/239 Saving And Loading A Trained Model.mp4 238.8 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/221 Turning Data Into Batches 2.mp4 238.1 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/225 Building A Deep Learning Model.mp4 235.8 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/165 Finding The Most Important Features.mp4 234.6 MB
  • 05 Data Science Environment Setup/036 Mac Environment Setup 2.mp4 234.5 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/222 Visualizing Our Data.mp4 233.8 MB
  • 08 Matplotlib_ Plotting and Data Visualization/090 Plotting from Pandas DataFrames 7.mp4 231.4 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/114 Choosing The Right Model For Your Data 3 (Classification).mp4 227.6 MB
  • 16 Career Advice + Extra Bits/264 Contributing To Open Source 2.mp4 224.3 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/143 Putting It All Together 2.mp4 223.1 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/137 Tuning Hyperparameters 3.mp4 223.0 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/209 Importing TensorFlow 2.mp4 221.5 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/243 Making Predictions On Our Images.mp4 221.0 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/241 Making Predictions On Test Images.mp4 220.0 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/238 Visualizing And Evaluate Model Predictions 3.mp4 219.6 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/214 Loading Our Data Labels.mp4 216.8 MB
  • 16 Career Advice + Extra Bits/262 CWD_ Git + Github 2.mp4 215.5 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/136 Tuning Hyperparameters 2.mp4 213.6 MB
  • 16 Career Advice + Extra Bits/263 Contributing To Open Source.mp4 209.5 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/227 Building A Deep Learning Model 3.mp4 207.6 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/216 Turning Data Labels Into Numbers.mp4 205.8 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/159 Tuning Hyperparameters.mp4 203.9 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/149 Step 1~4 Framework Setup.mp4 200.9 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/176 Filling Missing Numerical Values.mp4 200.5 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/219 Preprocess Images 2.mp4 200.3 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/160 Tuning Hyperparameters 2.mp4 197.9 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/106 Getting Your Data Ready_ Handling Missing Values With Pandas.mp4 196.7 MB
  • 06 Pandas_ Data Analysis/051 Selecting and Viewing Data with Pandas Part 2.mp4 196.3 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/181 Custom Evaluation Function.mp4 194.0 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/174 Feature Engineering.mp4 190.3 MB
  • 06 Pandas_ Data Analysis/052 Manipulating Data.mp4 190.1 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/169 Project Environment Setup.mp4 188.3 MB
  • 08 Matplotlib_ Plotting and Data Visualization/085 Plotting From Pandas DataFrames 2.mp4 186.2 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/242 Submitting Model to Kaggle.mp4 186.1 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/156 Choosing The Right Models.mp4 184.2 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/148 Project Environment Setup.mp4 182.9 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/182 Reducing Data.mp4 177.9 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/133 Evaluating A Model With Scikit-learn Functions.mp4 177.7 MB
  • 18 Learn Python Part 2/359 Modules in Python.mp4 176.9 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/213 Optional_ Reloading Colab Notebook.mp4 175.7 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/153 Finding Patterns 2.mp4 175.0 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/120 Evaluating A Machine Learning Model 2 (Cross Validation).mp4 174.2 MB
  • 06 Pandas_ Data Analysis/047 Series, Data Frames and CSVs.mp4 174.1 MB
  • 07 NumPy/072 Turn Images Into NumPy Arrays.mp4 173.0 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/134 Improving A Machine Learning Model.mp4 169.6 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/111 Choosing The Right Model For Your Data 2 (Regression).mp4 168.9 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/119 Evaluating A Machine Learning Model (Score).mp4 167.9 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/226 Building A Deep Learning Model 2.mp4 167.0 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/218 Preprocess Images.mp4 166.2 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/132 Evaluating A Model With Cross Validation and Scoring Parameter.mp4 165.5 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/166 Reviewing The Project.mp4 165.2 MB
  • 06 Pandas_ Data Analysis/053 Manipulating Data 2.mp4 163.6 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/170 Step 1~4 Framework Setup.mp4 163.2 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/158 Tuning_Improving Our Model.mp4 160.6 MB
  • 05 Data Science Environment Setup/042 Jupyter Notebook Walkthrough 2.mp4 160.4 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/127 Evaluating A Classification Model 6 (Classification Report).mp4 159.4 MB
  • 08 Matplotlib_ Plotting and Data Visualization/077 Importing And Using Matplotlib.mp4 154.4 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/179 Splitting Data.mp4 153.7 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/184 Improving Hyperparameters.mp4 152.1 MB
  • 01 Introduction/001 Course Outline.mp4 151.7 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/186 Making Predictions.mp4 149.9 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/150 Getting Our Tools Ready.mp4 149.9 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/100 Scikit-learn Cheatsheet.mp4 146.7 MB
  • 17 Learn Python/268 Python Interpreter.mp4 146.2 MB
  • 06 Pandas_ Data Analysis/054 Manipulating Data 3.mp4 144.5 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/204 Setting Up Google Colab.mp4 143.5 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/125 Evaluating A Classification Model 4 (Confusion Matrix).mp4 143.5 MB
  • 07 NumPy/069 Exercise_ Nut Butter Store Sales.mp4 141.6 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/233 Evaluating Performance With TensorBoard.mp4 140.4 MB
  • 08 Matplotlib_ Plotting and Data Visualization/091 Customizing Your Plots.mp4 139.7 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/220 Turning Data Into Batches.mp4 138.8 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/183 RandomizedSearchCV.mp4 136.4 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/228 Building A Deep Learning Model 4.mp4 135.7 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/155 Preparing Our Data For Machine Learning.mp4 135.5 MB
  • 05 Data Science Environment Setup/043 Jupyter Notebook Walkthrough 3.mp4 134.0 MB
  • 08 Matplotlib_ Plotting and Data Visualization/086 Plotting from Pandas DataFrames 3.mp4 133.7 MB
  • 13 Data Engineering/196 Optional_ OLTP Databases.mp4 131.0 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/128 Evaluating A Regression Model 1 (R2 Score).mp4 129.7 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/162 Evaluating Our Model.mp4 129.4 MB
  • 07 NumPy/068 Dot Product vs Element Wise.mp4 128.8 MB
  • 08 Matplotlib_ Plotting and Data Visualization/089 Plotting from Pandas DataFrames 6.mp4 127.4 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/202 Deep Learning and Unstructured Data.mp4 126.5 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/151 Exploring Our Data.mp4 125.3 MB
  • 07 NumPy/064 Manipulating Arrays.mp4 125.2 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/116 Making Predictions With Our Model.mp4 124.3 MB
  • 17 Learn Python/271 Python 2 vs Python 3.mp4 123.9 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/230 Evaluating Our Model.mp4 122.4 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/161 Tuning Hyperparameters 3.mp4 119.2 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/164 Evaluating Our Model 3.mp4 118.1 MB
  • 06 Pandas_ Data Analysis/049 Describing Data with Pandas.mp4 118.0 MB
  • 18 Learn Python Part 2/362 Packages in Python.mp4 115.3 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/103 Getting Your Data Ready_ Splitting Your Data.mp4 114.7 MB
  • 17 Learn Python/278 DEVELOPER FUNDAMENTALS_ I.mp4 112.7 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/152 Finding Patterns.mp4 112.4 MB
  • 06 Pandas_ Data Analysis/050 Selecting and Viewing Data with Pandas.mp4 112.1 MB
  • 07 NumPy/063 Viewing Arrays and Matrices.mp4 109.1 MB
  • 05 Data Science Environment Setup/041 Jupyter Notebook Walkthrough.mp4 107.5 MB
  • 07 NumPy/065 Manipulating Arrays 2.mp4 106.8 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/157 Experimenting With Machine Learning Models.mp4 105.5 MB
  • 17 Learn Python/282 Variables.mp4 105.4 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/177 Filling Missing Categorical Values.mp4 104.8 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/122 Evaluating A Classification Model 2 (ROC Curve).mp4 103.9 MB
  • 08 Matplotlib_ Plotting and Data Visualization/080 Histograms And Subplots.mp4 103.2 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/178 Fitting A Machine Learning Model.mp4 101.3 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/126 Evaluating A Classification Model 5 (Confusion Matrix).mp4 100.8 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/217 Creating Our Own Validation Set.mp4 100.0 MB
  • 07 NumPy/060 NumPy DataTypes and Attributes.mp4 98.6 MB
  • 18 Learn Python Part 2/316 Conditional Logic.mp4 98.0 MB
  • 08 Matplotlib_ Plotting and Data Visualization/088 Plotting from Pandas DataFrames 5.mp4 98.0 MB
  • 08 Matplotlib_ Plotting and Data Visualization/093 Saving And Sharing Your Plots.mp4 97.4 MB
  • 17 Learn Python/314 Sets 2.mp4 96.9 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/206 Uploading Project Data.mp4 96.8 MB
  • 08 Matplotlib_ Plotting and Data Visualization/078 Anatomy Of A Matplotlib Figure.mp4 96.2 MB
  • 07 NumPy/067 Reshape and Transpose.mp4 96.0 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/173 Exploring Our Data 2.mp4 95.9 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/236 Visualizing Model Predictions.mp4 95.3 MB
  • 08 Matplotlib_ Plotting and Data Visualization/083 Plotting From Pandas DataFrames.mp4 94.5 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/141 Saving And Loading A Model 2.mp4 90.5 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/123 Evaluating A Classification Model 3 (ROC Curve).mp4 89.9 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/223 Preparing Our Inputs and Outputs.mp4 89.3 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/229 Summarizing Our Model.mp4 86.4 MB
  • 17 Learn Python/276 Numbers.mp4 84.9 MB
  • 18 Learn Python Part 2/332 Our First GUI.mp4 83.7 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/130 Evaluating A Regression Model 3 (MSE).mp4 83.2 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/140 Saving And Loading A Model.mp4 82.5 MB
  • 07 NumPy/061 Creating NumPy Arrays.mp4 81.7 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/118 Making Predictions With Our Model (Regression).mp4 80.2 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/207 Setting Up Our Data.mp4 80.0 MB
  • 08 Matplotlib_ Plotting and Data Visualization/079 Scatter Plot And Bar Plot.mp4 79.2 MB
  • 17 Learn Python/292 Built-In Functions + Methods.mp4 77.9 MB
  • 17 Learn Python/269 How To Run Python Code.mp4 75.4 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/212 Optional_ GPU and Google Colab.mp4 73.0 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/115 Fitting A Model To The Data.mp4 70.9 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/117 predict() vs predict_proba().mp4 70.3 MB
  • 17 Learn Python/300 List Methods.mp4 69.1 MB
  • 02 Machine Learning 101/007 Exercise_ Machine Learning Playground.mp4 68.9 MB
  • 18 Learn Python Part 2/361 Optional_ PyCharm.mp4 68.8 MB
  • 18 Learn Python Part 2/318 Truthy vs Falsey.mp4 66.8 MB
  • 17 Learn Python/270 Our First Python Program.mp4 65.9 MB
  • 07 NumPy/062 NumPy Random Seed.mp4 65.0 MB
  • 07 NumPy/066 Standard Deviation and Variance.mp4 64.8 MB
  • 05 Data Science Environment Setup/037 Windows Environment Setup.mp4 62.3 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/205 Google Colab Workspace.mp4 61.7 MB
  • 18 Learn Python Part 2/338 return.mp4 60.4 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/231 Preventing Overfitting.mp4 57.6 MB
  • 08 Matplotlib_ Plotting and Data Visualization/081 Subplots Option 2.mp4 57.3 MB
  • 18 Learn Python Part 2/343 _args and __kwargs.mp4 56.7 MB
  • 08 Matplotlib_ Plotting and Data Visualization/087 Plotting from Pandas DataFrames 4.mp4 56.1 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/121 Evaluating A Classification Model 1 (Accuracy).mp4 55.5 MB
  • 13 Data Engineering/189 What Is Data_.mp4 55.2 MB
  • 18 Learn Python Part 2/350 Pure Functions.mp4 53.1 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/211 Using A GPU.mp4 52.7 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/129 Evaluating A Regression Model 2 (MAE).mp4 52.5 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/163 Evaluating Our Model 2.mp4 49.5 MB
  • 17 Learn Python/310 Dictionary Methods 2.mp4 49.2 MB
  • 18 Learn Python Part 2/340 Methods vs Functions.mp4 48.5 MB
  • 06 Pandas_ Data Analysis/056 How To Download The Course Assignments.mp4 47.6 MB
  • 17 Learn Python/277 Math Functions.mp4 46.7 MB
  • 01 Introduction/004 Your First Day.mp4 45.1 MB
  • 13 Data Engineering/194 Types Of Databases.mp4 44.1 MB
  • 18 Learn Python Part 2/333 DEVELOPER FUNDAMENTALS_ IV.mp4 43.9 MB
  • 17 Learn Python/313 Sets.mp4 41.5 MB
  • 18 Learn Python Part 2/363 Different Ways To Import.mp4 41.3 MB
  • 07 NumPy/071 Sorting Arrays.mp4 41.2 MB
  • 17 Learn Python/296 Exercise_ Password Checker.mp4 41.1 MB
  • 02 Machine Learning 101/008 How Did We Get Here_.mp4 41.1 MB
  • 18 Learn Python Part 2/354 reduce().mp4 40.8 MB
  • 07 NumPy/070 Comparison Operators.mp4 40.4 MB
  • 18 Learn Python Part 2/325 Iterables.mp4 40.0 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/208 Setting Up Our Data 2.mp4 39.4 MB
  • 18 Learn Python Part 2/322 Exercise_ Logical Operators.mp4 39.3 MB
  • 08 Matplotlib_ Plotting and Data Visualization/076 Matplotlib Introduction.mp4 36.7 MB
  • 18 Learn Python Part 2/327 range().mp4 36.4 MB
  • 18 Learn Python Part 2/351 map().mp4 36.3 MB
  • 18 Learn Python Part 2/335 Functions.mp4 36.2 MB
  • 17 Learn Python/267 What Is A Programming Language.mp4 36.0 MB
  • 17 Learn Python/294 Exercise_ Type Conversion.mp4 35.9 MB
  • 18 Learn Python Part 2/347 global Keyword.mp4 35.5 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/098 Refresher_ What Is Machine Learning_.mp4 35.3 MB
  • 03 Machine Learning and Data Science Framework/018 Types of Data.mp4 35.1 MB
  • 03 Machine Learning and Data Science Framework/017 Types of Machine Learning Problems.mp4 34.7 MB
  • 17 Learn Python/295 DEVELOPER FUNDAMENTALS_ II.mp4 34.2 MB
  • 18 Learn Python Part 2/355 List Comprehensions.mp4 32.8 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/139 Quick Tip_ Correlation Analysis.mp4 32.6 MB
  • 18 Learn Python Part 2/342 Clean Code.mp4 31.6 MB
  • 02 Machine Learning 101/005 What Is Machine Learning_.mp4 31.4 MB
  • 17 Learn Python/302 List Methods 3.mp4 31.3 MB
  • 18 Learn Python Part 2/346 Scope Rules.mp4 31.2 MB
  • 17 Learn Python/301 List Methods 2.mp4 30.9 MB
  • 17 Learn Python/272 Exercise_ How Does Python Work_.mp4 30.3 MB
  • 18 Learn Python Part 2/323 is vs ==.mp4 28.9 MB
  • 17 Learn Python/289 Formatted Strings.mp4 28.6 MB
  • 03 Machine Learning and Data Science Framework/024 Modelling - Comparison.mp4 28.6 MB
  • 17 Learn Python/298 List Slicing.mp4 28.5 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/096 Scikit-learn Introduction.mp4 28.2 MB
  • 17 Learn Python/303 Common List Patterns.mp4 28.0 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/168 Project Overview.mp4 27.7 MB
  • 17 Learn Python/290 String Indexes.mp4 27.4 MB
  • 18 Learn Python Part 2/324 For Loops.mp4 26.8 MB
  • 17 Learn Python/287 Type Conversion.mp4 26.4 MB
  • 05 Data Science Environment Setup/034 Conda Environments.mp4 25.9 MB
  • 03 Machine Learning and Data Science Framework/020 Features In Data.mp4 25.7 MB
  • 17 Learn Python/281 Optional_ bin() and complex.mp4 25.1 MB
  • 14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/210 Optional_ TensorFlow 2.0 Default Issue.mp4 24.7 MB
  • 18 Learn Python Part 2/337 Default Parameters and Keyword Arguments.mp4 24.6 MB
  • 02 Machine Learning 101/006 AI_Machine Learning_Data Science.mp4 23.9 MB
  • 18 Learn Python Part 2/321 Logical Operators.mp4 23.7 MB
  • 07 NumPy/057 Section Overview.mp4 23.6 MB
  • 11 Milestone Project 1_ Supervised Learning (Classification)/147 Project Overview.mp4 23.3 MB
  • 18 Learn Python Part 2/356 Set Comprehensions.mp4 22.9 MB
  • 07 NumPy/058 NumPy Introduction.mp4 22.7 MB
  • 18 Learn Python Part 2/329 While Loops.mp4 22.4 MB
  • 03 Machine Learning and Data Science Framework/027 Tools We Will Use.mp4 21.5 MB
  • 17 Learn Python/274 Python Data Types.mp4 20.3 MB
  • 02 Machine Learning 101/012 What Is Machine Learning_ Round 2.mp4 20.1 MB
  • 17 Learn Python/306 Dictionaries.mp4 20.0 MB
  • 03 Machine Learning and Data Science Framework/026 Experimentation.mp4 19.8 MB
  • 13 Data Engineering/191 What Is A Data Engineer 2_.mp4 19.8 MB
  • 18 Learn Python Part 2/317 Indentation In Python.mp4 18.8 MB
  • 06 Pandas_ Data Analysis/046 Pandas Introduction.mp4 18.8 MB
  • 18 Learn Python Part 2/336 Parameters and Arguments.mp4 18.5 MB
  • 17 Learn Python/285 Strings.mp4 18.2 MB
  • 13 Data Engineering/192 What Is A Data Engineer 3_.mp4 18.1 MB
  • 18 Learn Python Part 2/330 While Loops 2.mp4 17.9 MB
  • 13 Data Engineering/200 Kafka and Stream Processing.mp4 17.9 MB
  • 03 Machine Learning and Data Science Framework/021 Modelling - Splitting Data.mp4 17.6 MB
  • 05 Data Science Environment Setup/032 Introducing Our Tools.mp4 17.2 MB
  • 18 Learn Python Part 2/353 zip().mp4 17.0 MB
  • 18 Learn Python Part 2/341 Docstrings.mp4 16.7 MB
  • 12 Milestone Project 2_ Supervised Learning (Time Series Data)/167 Section Overview.mp4 16.6 MB
  • 20 Where To Go From Here_/367 Thank You.mp4 16.3 MB
  • 09 Scikit-learn_ Creating Machine Learning Models/104 Quick Tip_ Clean, Transform, Reduce.mp4 16.2 MB
  • 17 Learn Python/311 Tuples.mp4 16.0 MB
  • 17 Learn Python/309 Dictionary Methods.mp4 16.0 MB
  • 03 Machine Learning and Data Science Framework/016 6 Step Machine Learning Framework.mp4 16.0 MB
  • 18 Learn Python Part 2/352 filter().mp4 15.9 MB
  • 15 Storytelling + Communication_ How To Present Your Work/249 Weekend Project Principle.mp4 15.8 MB
  • 02 Machine Learning 101/010 Types of Machine Learning.mp4 15.8 MB
  • 17 Learn Python/307 DEVELOPER FUNDAMENTALS_ III.mp4 15.8 MB
  • 18 Learn Python Part 2/357 Exercise_ Comprehensions.mp4 15.5 MB
  • 18 Learn Python Part 2/348 nonlocal Keyword.mp4 15.5 MB
  • 13 Data Engineering/190 What Is A Data Engineer_.mp4 15.3 MB
  • 16 Career Advice + Extra Bits/259 JTS_ Start With Why.mp4 15.1 MB
  • 18 Learn Python Part 2/328 enumerate().mp4 15.1 MB
  • 18 Learn Python Part 2/331 break, continue, pass.mp4 15.0 MB
  • 15 Storytelling + Communication_ How To Present Your Work/246 Communicating Your Work.mp4 14.5 MB
  • 18 Learn Python Part 2/344 Exercise_ Functions.mp4 14.2 MB
  • 18 Learn Python Part 2/349 Why Do We Need Scope_.mp4 14.0 MB
  • 17 Learn Python/297 Lists.mp4 13.9 MB
  • 17 Learn Python/288 Escape Sequences.mp4 13.8 MB
  • 02 Machine Learning 101/009 Exercise_ YouTube Recommendation Engine.mp4 13.8 MB
  • 03 Machine Learning and Data Science Framework/022 Modelling - Picking the Model.mp4 13.7 MB
  • 18 Learn Python Part 2/334 Exercise_ Find Duplicates.mp4 13.6 MB
  • 17 Learn Python/291 Immutability.mp4 13.5 MB
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