Udemy - Complete A.I. & Machine Learning, Data Science Bootcamp (5.2024)

磁力链接/BT种子名称

Udemy - Complete A.I. & Machine Learning, Data Science Bootcamp (5.2024)

磁力链接/BT种子简介

种子哈希：e44f303891d5e70106e055414f43a088bbb979bf
文件大小： 30.37G
已经下载：80次
下载速度：极快
收录时间：2025-08-11
最近下载：2025-08-30

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文件列表

  • 9 - Scikitlearn Creating Machine Learning Models/118 - NEW Choosing The Right Model For Your Data.mp4 456.8 MB
  • 5 - Data Science Environment Setup/42 - Windows Environment Setup 2.mp4 437.7 MB
  • 9 - Scikitlearn Creating Machine Learning Models/141 - NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 431.1 MB
  • 16 - Career Advice Extra Bits/274 - CWD Git Github.mp4 379.9 MB
  • 9 - Scikitlearn Creating Machine Learning Models/108 - Typical scikitlearn Workflow.mp4 353.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/109 - Optional Debugging Warnings In Jupyter.mp4 338.1 MB
  • 16 - Career Advice Extra Bits/268 - What If I Dont Have Enough Experience.mp4 327.8 MB
  • 9 - Scikitlearn Creating Machine Learning Models/144 - Tuning Hyperparameters.mp4 325.6 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/245 - Training Your Deep Neural Network.mp4 311.8 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/187 - Feature Engineering.mp4 305.5 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/247 - Make And Transform Predictions.mp4 292.6 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/234 - Turning Data Into Batches 2.mp4 279.4 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/188 - Turning Data Into Numbers.mp4 279.2 MB
  • 5 - Data Science Environment Setup/39 - Mac Environment Setup.mp4 274.4 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/198 - Preproccessing Our Data.mp4 271.9 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/200 - Feature Importance.mp4 266.9 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/250 - Visualizing And Evaluate Model Predictions 2.mp4 266.6 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/185 - Exploring Our Data.mp4 264.2 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/253 - Training Model On Full Dataset.mp4 263.9 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/165 - Finding Patterns 3.mp4 261.1 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/254 - Making Predictions On Test Images.mp4 257.5 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/228 - Preparing The Images.mp4 255.6 MB
  • 9 - Scikitlearn Creating Machine Learning Models/117 - Getting Your Data Ready Handling Missing Values With Scikitlearn.mp4 253.9 MB
  • 9 - Scikitlearn Creating Machine Learning Models/142 - NEW Evaluating A Model With Scikitlearn Functions.mp4 253.4 MB
  • 9 - Scikitlearn Creating Machine Learning Models/119 - NEW Choosing The Right Model For Your Data 2 Regression.mp4 251.9 MB
  • 9 - Scikitlearn Creating Machine Learning Models/112 - Getting Your Data Ready Convert Data To Numbers.mp4 248.9 MB
  • 8 - Matplotlib Plotting and Data Visualization/99 - Customizing Your Plots 2.mp4 246.9 MB
  • 16 - Career Advice Extra Bits/275 - CWD Git Github 2.mp4 240.4 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/252 - Saving And Loading A Trained Model.mp4 238.1 MB
  • 5 - Data Science Environment Setup/40 - Mac Environment Setup 2.mp4 234.0 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/178 - Finding The Most Important Features.mp4 234.0 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/235 - Visualizing Our Data.mp4 232.9 MB
  • 8 - Matplotlib Plotting and Data Visualization/97 - Plotting from Pandas DataFrames 7.mp4 231.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/122 - Choosing The Right Model For Your Data 3 Classification.mp4 227.3 MB
  • 16 - Career Advice Extra Bits/277 - Contributing To Open Source 2.mp4 226.5 MB
  • 9 - Scikitlearn Creating Machine Learning Models/146 - Tuning Hyperparameters 3.mp4 223.0 MB
  • 9 - Scikitlearn Creating Machine Learning Models/152 - Putting It All Together 2.mp4 222.0 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/222 - Importing TensorFlow 2.mp4 221.2 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/256 - Making Predictions On Our Images.mp4 220.7 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/249 - Visualizing Model Predictions.mp4 220.4 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/251 - Visualizing And Evaluate Model Predictions 3.mp4 219.2 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/227 - Loading Our Data Labels.mp4 216.3 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/240 - Building A Deep Learning Model 3.mp4 207.2 MB
  • 16 - Career Advice Extra Bits/276 - Contributing To Open Source.mp4 206.5 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/229 - Turning Data Labels Into Numbers.mp4 205.3 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/170 - Tuning Hyperparameters.mp4 203.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/248 - Transform Predictions To Text.mp4 201.8 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/159 - Step 14 Framework Setup.mp4 200.4 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/232 - Preprocess Images 2.mp4 199.7 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/189 - Filling Missing Numerical Values.mp4 199.6 MB
  • 9 - Scikitlearn Creating Machine Learning Models/135 - NEW Evaluating A Classification Model 5 Confusion Matrix.mp4 199.3 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/171 - Tuning Hyperparameters 2.mp4 197.7 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/238 - Building A Deep Learning Model.mp4 197.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/114 - Getting Your Data Ready Handling Missing Values With Pandas.mp4 196.3 MB
  • 6 - Pandas Data Analysis/57 - Selecting and Viewing Data with Pandas Part 2.mp4 195.8 MB
  • 9 - Scikitlearn Creating Machine Learning Models/151 - Putting It All Together.mp4 195.0 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/194 - Custom Evaluation Function.mp4 193.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/137 - NEW Evaluating A Regression Model 1 R2 Score.mp4 190.3 MB
  • 6 - Pandas Data Analysis/58 - Manipulating Data.mp4 189.3 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/169 - TuningImproving Our Model.mp4 188.5 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/183 - Project Environment Setup.mp4 187.9 MB
  • 8 - Matplotlib Plotting and Data Visualization/92 - Plotting From Pandas DataFrames 2.mp4 185.7 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/255 - Submitting Model to Kaggle.mp4 185.6 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/167 - Choosing The Right Models.mp4 183.7 MB
  • 5 - Data Science Environment Setup/46 - Jupyter Notebook Walkthrough 2.mp4 183.4 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/157 - Project Environment Setup.mp4 182.7 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/195 - Reducing Data.mp4 177.2 MB
  • 18 - Learn Python Part 2/373 - Modules in Python.mp4 177.0 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/226 - Optional Reloading Colab Notebook.mp4 175.3 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/164 - Finding Patterns 2.mp4 174.6 MB
  • 6 - Pandas Data Analysis/51 - Series Data Frames and CSVs.mp4 173.8 MB
  • 7 - NumPy/78 - Turn Images Into NumPy Arrays.mp4 172.8 MB
  • 9 - Scikitlearn Creating Machine Learning Models/139 - NEW Evaluating A Regression Model 3 MSE.mp4 169.6 MB
  • 9 - Scikitlearn Creating Machine Learning Models/143 - Improving A Machine Learning Model.mp4 169.4 MB
  • 8 - Matplotlib Plotting and Data Visualization/98 - Customizing Your Plots.mp4 169.3 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/239 - Building A Deep Learning Model 2.mp4 166.5 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/231 - Preprocess Images.mp4 166.1 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/179 - Reviewing The Project.mp4 164.9 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/196 - RandomizedSearchCV.mp4 163.4 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/233 - Turning Data Into Batches.mp4 163.2 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/241 - Building A Deep Learning Model 4.mp4 163.1 MB
  • 6 - Pandas Data Analysis/59 - Manipulating Data 2.mp4 163.1 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/184 - Step 14 Framework Setup.mp4 162.6 MB
  • 7 - NumPy/75 - Exercise Nut Butter Store Sales.mp4 162.6 MB
  • 9 - Scikitlearn Creating Machine Learning Models/127 - NEW Evaluating A Machine Learning Model Score Part 1.mp4 160.7 MB
  • 1 - Introduction/2 - Join Our Online Classroom.mp4 159.2 MB
  • 8 - Matplotlib Plotting and Data Visualization/84 - Importing And Using Matplotlib.mp4 154.1 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/224 - Using A GPU.mp4 153.6 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/192 - Splitting Data.mp4 153.4 MB
  • 9 - Scikitlearn Creating Machine Learning Models/126 - NEW Making Predictions With Our Model Regression.mp4 153.1 MB
  • 13 - Data Engineering/209 - Optional OLTP Databases.mp4 153.0 MB
  • 1 - Introduction/1 - Course Outline.mp4 151.5 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/197 - Improving Hyperparameters.mp4 151.4 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/161 - Getting Our Tools Ready.mp4 149.6 MB
  • 9 - Scikitlearn Creating Machine Learning Models/129 - Evaluating A Machine Learning Model 2 Cross Validation.mp4 149.6 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/199 - Making Predictions.mp4 149.1 MB
  • 17 - Learn Python/285 - Python 2 vs Python 3.mp4 148.9 MB
  • 9 - Scikitlearn Creating Machine Learning Models/107 - Scikitlearn Cheatsheet.mp4 146.6 MB
  • 17 - Learn Python/281 - Python Interpreter.mp4 144.9 MB
  • 6 - Pandas Data Analysis/60 - Manipulating Data 3.mp4 143.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/217 - Setting Up Google Colab.mp4 143.2 MB
  • 9 - Scikitlearn Creating Machine Learning Models/134 - Evaluating A Classification Model 4 Confusion Matrix.mp4 143.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/145 - Tuning Hyperparameters 2.mp4 143.1 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/246 - Evaluating Performance With TensorBoard.mp4 139.6 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/166 - Preparing Our Data For Machine Learning.mp4 135.4 MB
  • 5 - Data Science Environment Setup/47 - Jupyter Notebook Walkthrough 3.mp4 133.8 MB
  • 8 - Matplotlib Plotting and Data Visualization/93 - Plotting from Pandas DataFrames 3.mp4 133.6 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/174 - Evaluating Our Model.mp4 129.0 MB
  • 7 - NumPy/74 - Dot Product vs Element Wise.mp4 128.6 MB
  • 8 - Matplotlib Plotting and Data Visualization/96 - Plotting from Pandas DataFrames 6.mp4 127.3 MB
  • 6 - Pandas Data Analysis/62 - How To Download The Course Assignments.mp4 126.1 MB
  • 8 - Matplotlib Plotting and Data Visualization/85 - Anatomy Of A Matplotlib Figure.mp4 125.3 MB
  • 7 - NumPy/70 - Manipulating Arrays.mp4 125.0 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/162 - Exploring Our Data.mp4 124.9 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/190 - Filling Missing Categorical Values.mp4 123.8 MB
  • 8 - Matplotlib Plotting and Data Visualization/87 - Histograms And Subplots.mp4 122.4 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/243 - Evaluating Our Model.mp4 122.1 MB
  • 7 - NumPy/71 - Manipulating Arrays 2.mp4 121.8 MB
  • 9 - Scikitlearn Creating Machine Learning Models/128 - NEW Evaluating A Machine Learning Model Score Part 2.mp4 121.0 MB
  • 9 - Scikitlearn Creating Machine Learning Models/131 - Evaluating A Classification Model 2 ROC Curve.mp4 119.5 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/177 - Evaluating Our Model 3.mp4 117.7 MB
  • 6 - Pandas Data Analysis/54 - Describing Data with Pandas.mp4 117.6 MB
  • 9 - Scikitlearn Creating Machine Learning Models/110 - Getting Your Data Ready Splitting Your Data.mp4 114.4 MB
  • 17 - Learn Python/292 - DEVELOPER FUNDAMENTALS I.mp4 112.7 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/163 - Finding Patterns.mp4 112.0 MB
  • 17 - Learn Python/290 - Numbers.mp4 111.0 MB
  • 7 - NumPy/69 - Viewing Arrays and Matrices.mp4 108.7 MB
  • 5 - Data Science Environment Setup/45 - Jupyter Notebook Walkthrough.mp4 107.2 MB
  • 9 - Scikitlearn Creating Machine Learning Models/123 - Fitting A Model To The Data.mp4 105.9 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/168 - Experimenting With Machine Learning Models.mp4 105.2 MB
  • 17 - Learn Python/296 - Variables.mp4 104.9 MB
  • 9 - Scikitlearn Creating Machine Learning Models/136 - Evaluating A Classification Model 6 Classification Report.mp4 102.9 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/191 - Fitting A Machine Learning Model.mp4 100.5 MB
  • 8 - Matplotlib Plotting and Data Visualization/86 - Scatter Plot And Bar Plot.mp4 100.5 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/230 - Creating Our Own Validation Set.mp4 99.8 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/172 - Tuning Hyperparameters 3.mp4 99.6 MB
  • 7 - NumPy/66 - NumPy DataTypes and Attributes.mp4 98.3 MB
  • 8 - Matplotlib Plotting and Data Visualization/95 - Plotting from Pandas DataFrames 5.mp4 97.6 MB
  • 18 - Learn Python Part 2/330 - Conditional Logic.mp4 97.4 MB
  • 8 - Matplotlib Plotting and Data Visualization/100 - Saving And Sharing Your Plots.mp4 97.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/149 - Saving And Loading A Model.mp4 96.0 MB
  • 7 - NumPy/73 - Reshape and Transpose.mp4 95.9 MB
  • 17 - Learn Python/306 - BuiltIn Functions Methods.mp4 95.8 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/186 - Exploring Our Data 2.mp4 95.4 MB
  • 8 - Matplotlib Plotting and Data Visualization/90 - Plotting From Pandas DataFrames.mp4 93.9 MB
  • 6 - Pandas Data Analysis/55 - Selecting and Viewing Data with Pandas.mp4 90.6 MB
  • 9 - Scikitlearn Creating Machine Learning Models/150 - Saving And Loading A Model 2.mp4 90.3 MB
  • 9 - Scikitlearn Creating Machine Learning Models/132 - Evaluating A Classification Model 3 ROC Curve.mp4 89.7 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/236 - Preparing Our Inputs and Outputs.mp4 89.0 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/242 - Summarizing Our Model.mp4 86.2 MB
  • 18 - Learn Python Part 2/346 - Our First GUI.mp4 83.6 MB
  • 2 - Machine Learning 101/8 - ZTM Resources.mp4 83.6 MB
  • 7 - NumPy/67 - Creating NumPy Arrays.mp4 81.3 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/220 - Setting Up Our Data.mp4 79.8 MB
  • 9 - Scikitlearn Creating Machine Learning Models/138 - NEW Evaluating A Regression Model 2 MAE.mp4 77.9 MB
  • 18 - Learn Python Part 2/332 - Truthy vs Falsey.mp4 77.4 MB
  • 17 - Learn Python/282 - How To Run Python Code.mp4 75.3 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/176 - Evaluating Our Model 2.mp4 74.8 MB
  • 17 - Learn Python/328 - Sets 2.mp4 74.5 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/225 - Optional GPU and Google Colab.mp4 72.5 MB
  • 9 - Scikitlearn Creating Machine Learning Models/125 - predict vs predictproba.mp4 70.0 MB
  • 18 - Learn Python Part 2/368 - reduce.mp4 69.3 MB
  • 2 - Machine Learning 101/9 - Exercise Machine Learning Playground.mp4 68.8 MB
  • 18 - Learn Python Part 2/375 - Optional PyCharm.mp4 68.6 MB
  • 17 - Learn Python/314 - List Methods.mp4 68.6 MB
  • 13 - Data Engineering/202 - What Is Data.mp4 66.1 MB
  • 17 - Learn Python/284 - Our First Python Program.mp4 65.7 MB
  • 7 - NumPy/72 - Standard Deviation and Variance.mp4 64.7 MB
  • 7 - NumPy/68 - NumPy Random Seed.mp4 64.7 MB
  • 18 - Learn Python Part 2/364 - Pure Functions.mp4 63.6 MB
  • 5 - Data Science Environment Setup/41 - Windows Environment Setup.mp4 62.0 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/218 - Google Colab Workspace.mp4 61.5 MB
  • 18 - Learn Python Part 2/352 - return.mp4 59.9 MB
  • 2 - Machine Learning 101/10 - How Did We Get Here.mp4 58.3 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/244 - Preventing Overfitting.mp4 57.6 MB
  • 18 - Learn Python Part 2/339 - Iterables.mp4 57.1 MB
  • 8 - Matplotlib Plotting and Data Visualization/88 - Subplots Option 2.mp4 57.1 MB
  • 7 - NumPy/79 - Exercise Imposter Syndrome.mp4 56.4 MB
  • 8 - Matplotlib Plotting and Data Visualization/94 - Plotting from Pandas DataFrames 4.mp4 55.9 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/215 - Deep Learning and Unstructured Data.mp4 55.0 MB
  • 18 - Learn Python Part 2/354 - Methods vs Functions.mp4 54.7 MB
  • 18 - Learn Python Part 2/365 - map.mp4 50.8 MB
  • 17 - Learn Python/324 - Dictionary Methods 2.mp4 48.8 MB
  • 17 - Learn Python/291 - Math Functions.mp4 46.6 MB
  • 3 - Machine Learning and Data Science Framework/20 - Types of Machine Learning Problems.mp4 44.0 MB
  • 13 - Data Engineering/207 - Types Of Databases.mp4 44.0 MB
  • 9 - Scikitlearn Creating Machine Learning Models/124 - Making Predictions With Our Model.mp4 43.8 MB
  • 18 - Learn Python Part 2/347 - DEVELOPER FUNDAMENTALS IV.mp4 43.6 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/219 - Uploading Project Data.mp4 42.2 MB
  • 18 - Learn Python Part 2/376 - Packages in Python.mp4 42.1 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/158 - Optional Windows Project Environment Setup.mp4 42.1 MB
  • 17 - Learn Python/309 - DEVELOPER FUNDAMENTALS II.mp4 41.5 MB
  • 17 - Learn Python/308 - Exercise Type Conversion.mp4 41.2 MB
  • 18 - Learn Python Part 2/377 - Different Ways To Import.mp4 41.2 MB
  • 17 - Learn Python/327 - Sets.mp4 41.1 MB
  • 18 - Learn Python Part 2/369 - List Comprehensions.mp4 41.0 MB
  • 7 - NumPy/77 - Sorting Arrays.mp4 41.0 MB
  • 17 - Learn Python/310 - Exercise Password Checker.mp4 40.9 MB
  • 7 - NumPy/76 - Comparison Operators.mp4 40.2 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/221 - Setting Up Our Data 2.mp4 39.2 MB
  • 18 - Learn Python Part 2/336 - Exercise Logical Operators.mp4 39.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/130 - Evaluating A Classification Model 1 Accuracy.mp4 38.9 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/223 - Optional TensorFlow 20 Default Issue.mp4 36.8 MB
  • 8 - Matplotlib Plotting and Data Visualization/83 - Matplotlib Introduction.mp4 36.6 MB
  • 18 - Learn Python Part 2/341 - range.mp4 36.1 MB
  • 18 - Learn Python Part 2/349 - Functions.mp4 36.0 MB
  • 17 - Learn Python/280 - What Is A Programming Language.mp4 35.9 MB
  • 9 - Scikitlearn Creating Machine Learning Models/105 - Refresher What Is Machine Learning.mp4 35.3 MB
  • 18 - Learn Python Part 2/361 - global Keyword.mp4 35.2 MB
  • 17 - Learn Python/303 - Formatted Strings.mp4 35.0 MB
  • 3 - Machine Learning and Data Science Framework/21 - Types of Data.mp4 35.0 MB
  • 18 - Learn Python Part 2/357 - args and kwargs.mp4 35.0 MB
  • 18 - Learn Python Part 2/337 - is vs.mp4 32.5 MB
  • 9 - Scikitlearn Creating Machine Learning Models/148 - Quick Tip Correlation Analysis.mp4 32.3 MB
  • 2 - Machine Learning 101/6 - What Is Machine Learning.mp4 31.3 MB
  • 17 - Learn Python/316 - List Methods 3.mp4 31.1 MB
  • 18 - Learn Python Part 2/360 - Scope Rules.mp4 31.0 MB
  • 17 - Learn Python/315 - List Methods 2.mp4 30.8 MB
  • 18 - Learn Python Part 2/351 - Default Parameters and Keyword Arguments.mp4 30.8 MB
  • 3 - Machine Learning and Data Science Framework/23 - Features In Data.mp4 30.4 MB
  • 17 - Learn Python/286 - Exercise How Does Python Work.mp4 30.3 MB
  • 5 - Data Science Environment Setup/38 - Conda Environments.mp4 30.1 MB
  • 3 - Machine Learning and Data Science Framework/27 - Modelling Comparison.mp4 28.5 MB
  • 17 - Learn Python/312 - List Slicing.mp4 28.4 MB
  • 18 - Learn Python Part 2/370 - Set Comprehensions.mp4 28.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/103 - Scikitlearn Introduction.mp4 28.1 MB
  • 17 - Learn Python/317 - Common List Patterns.mp4 27.9 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/181 - Project Overview.mp4 27.6 MB
  • 17 - Learn Python/304 - String Indexes.mp4 27.2 MB
  • 18 - Learn Python Part 2/335 - Logical Operators.mp4 26.8 MB
  • 18 - Learn Python Part 2/338 - For Loops.mp4 26.7 MB
  • 17 - Learn Python/301 - Type Conversion.mp4 26.3 MB
  • 17 - Learn Python/295 - Optional bin and complex.mp4 25.0 MB
  • 13 - Data Engineering/213 - Kafka and Stream Processing.mp4 24.2 MB
  • 2 - Machine Learning 101/7 - AIMachine LearningData Science.mp4 23.8 MB
  • 7 - NumPy/63 - Section Overview.mp4 23.6 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/156 - Project Overview.mp4 23.2 MB
  • 18 - Learn Python Part 2/331 - Indentation In Python.mp4 23.2 MB
  • 7 - NumPy/64 - NumPy Introduction.mp4 22.6 MB
  • 18 - Learn Python Part 2/343 - While Loops.mp4 22.3 MB
  • 13 - Data Engineering/205 - What Is A Data Engineer 3.mp4 22.2 MB
  • 3 - Machine Learning and Data Science Framework/30 - Tools We Will Use.mp4 21.5 MB
  • 9 - Scikitlearn Creating Machine Learning Models/111 - Quick Tip Clean Transform Reduce.mp4 21.3 MB
  • 3 - Machine Learning and Data Science Framework/24 - Modelling Splitting Data.mp4 21.1 MB
  • 17 - Learn Python/288 - Python Data Types.mp4 20.3 MB
  • 2 - Machine Learning 101/14 - What Is Machine Learning Round 2.mp4 20.0 MB
  • 17 - Learn Python/320 - Dictionaries.mp4 19.8 MB
  • 13 - Data Engineering/204 - What Is A Data Engineer 2.mp4 19.7 MB
  • 3 - Machine Learning and Data Science Framework/29 - Experimentation.mp4 19.7 MB
  • 6 - Pandas Data Analysis/50 - Pandas Introduction.mp4 18.7 MB
  • 18 - Learn Python Part 2/342 - enumerate.mp4 18.7 MB
  • 17 - Learn Python/307 - Booleans.mp4 18.5 MB
  • 18 - Learn Python Part 2/350 - Parameters and Arguments.mp4 18.5 MB
  • 17 - Learn Python/299 - Strings.mp4 18.0 MB
  • 18 - Learn Python Part 2/344 - While Loops 2.mp4 17.8 MB
  • 18 - Learn Python Part 2/358 - Exercise Functions.mp4 17.3 MB
  • 5 - Data Science Environment Setup/36 - Introducing Our Tools.mp4 17.2 MB
  • 18 - Learn Python Part 2/363 - Why Do We Need Scope.mp4 17.0 MB
  • 18 - Learn Python Part 2/367 - zip.mp4 16.9 MB
  • 18 - Learn Python Part 2/355 - Docstrings.mp4 16.6 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/180 - Section Overview.mp4 16.6 MB
  • 20 - Where To Go From Here/382 - Thank You.mp4 16.3 MB
  • 17 - Learn Python/325 - Tuples.mp4 16.0 MB
  • 3 - Machine Learning and Data Science Framework/19 - 6 Step Machine Learning Framework.mp4 15.9 MB
  • 17 - Learn Python/323 - Dictionary Methods.mp4 15.9 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/214 - Section Overview.mp4 15.9 MB
  • 18 - Learn Python Part 2/366 - filter.mp4 15.8 MB
  • 15 - Storytelling Communication How To Present Your Work/262 - Weekend Project Principle.mp4 15.7 MB
  • 17 - Learn Python/321 - DEVELOPER FUNDAMENTALS III.mp4 15.7 MB
  • 2 - Machine Learning 101/12 - Types of Machine Learning.mp4 15.7 MB
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