GetFreeCourses.Co-Udemy-Complete Machine Learning & Data Science Bootcamp 2023

磁力链接/BT种子名称

GetFreeCourses.Co-Udemy-Complete Machine Learning & Data Science Bootcamp 2023

磁力链接/BT种子简介

种子哈希：795496f95e277cc84504a108e55283db3e186e09
文件大小： 29.26G
已经下载：32095次
下载速度：极快
收录时间：2023-12-20
最近下载：2025-09-05

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文件列表

  • 9 - Scikitlearn Creating Machine Learning Models/114 - NEW Choosing The Right Model For Your Data.mp4 456.4 MB
  • 5 - Data Science Environment Setup/40 - Windows Environment Setup 2.mp4 437.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/137 - NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 430.1 MB
  • 16 - Career Advice Extra Bits/268 - CWD Git Github.mp4 379.5 MB
  • 9 - Scikitlearn Creating Machine Learning Models/104 - Typical scikitlearn Workflow.mp4 352.2 MB
  • 9 - Scikitlearn Creating Machine Learning Models/105 - Optional Debugging Warnings In Jupyter.mp4 337.7 MB
  • 16 - Career Advice Extra Bits/262 - What If I Dont Have Enough Experience.mp4 327.3 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/239 - Training Your Deep Neural Network.mp4 311.7 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/181 - Feature Engineering.mp4 305.0 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/241 - Make And Transform Predictions.mp4 292.6 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/182 - Turning Data Into Numbers.mp4 278.7 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/228 - Turning Data Into Batches 2.mp4 278.7 MB
  • 5 - Data Science Environment Setup/37 - Mac Environment Setup.mp4 274.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/147 - Putting It All Together.mp4 273.8 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/192 - Preproccessing Our Data.mp4 271.4 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/194 - Feature Importance.mp4 266.3 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/244 - Visualizing And Evaluate Model Predictions 2.mp4 266.0 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/179 - Exploring Our Data.mp4 263.6 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/160 - Finding Patterns 3.mp4 260.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/248 - Making Predictions On Test Images.mp4 257.0 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/222 - Preparing The Images.mp4 255.4 MB
  • 9 - Scikitlearn Creating Machine Learning Models/113 - Getting Your Data Ready Handling Missing Values With Scikitlearn.mp4 253.2 MB
  • 9 - Scikitlearn Creating Machine Learning Models/138 - NEW Evaluating A Model With Scikitlearn Functions.mp4 253.0 MB
  • 9 - Scikitlearn Creating Machine Learning Models/115 - NEW Choosing The Right Model For Your Data 2 Regression.mp4 251.5 MB
  • 9 - Scikitlearn Creating Machine Learning Models/108 - Getting Your Data Ready Convert Data To Numbers.mp4 248.4 MB
  • 16 - Career Advice Extra Bits/270 - Contributing To Open Source.mp4 247.0 MB
  • 16 - Career Advice Extra Bits/269 - CWD Git Github 2.mp4 239.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/242 - Transform Predictions To Text.mp4 239.6 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/246 - Saving And Loading A Trained Model.mp4 237.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/232 - Building A Deep Learning Model.mp4 235.4 MB
  • 5 - Data Science Environment Setup/38 - Mac Environment Setup 2.mp4 233.6 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/172 - Finding The Most Important Features.mp4 233.4 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/229 - Visualizing Our Data.mp4 232.8 MB
  • 8 - Matplotlib Plotting and Data Visualization/93 - Plotting from Pandas DataFrames 7.mp4 230.7 MB
  • 9 - Scikitlearn Creating Machine Learning Models/118 - Choosing The Right Model For Your Data 3 Classification.mp4 226.8 MB
  • 16 - Career Advice Extra Bits/271 - Contributing To Open Source 2.mp4 224.0 MB
  • 9 - Scikitlearn Creating Machine Learning Models/142 - Tuning Hyperparameters 3.mp4 222.4 MB
  • 9 - Scikitlearn Creating Machine Learning Models/148 - Putting It All Together 2.mp4 221.5 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/216 - Importing TensorFlow 2.mp4 220.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/243 - Visualizing Model Predictions.mp4 219.7 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/221 - Loading Our Data Labels.mp4 215.9 MB
  • 9 - Scikitlearn Creating Machine Learning Models/141 - Tuning Hyperparameters 2.mp4 212.6 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/234 - Building A Deep Learning Model 3.mp4 207.2 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/223 - Turning Data Labels Into Numbers.mp4 205.2 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/233 - Building A Deep Learning Model 2.mp4 201.5 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/155 - Step 14 Framework Setup.mp4 200.1 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/226 - Preprocess Images 2.mp4 199.6 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/183 - Filling Missing Numerical Values.mp4 199.3 MB
  • 9 - Scikitlearn Creating Machine Learning Models/131 - NEW Evaluating A Classification Model 5 Confusion Matrix.mp4 198.8 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/166 - Tuning Hyperparameters 2.mp4 197.2 MB
  • 9 - Scikitlearn Creating Machine Learning Models/110 - Getting Your Data Ready Handling Missing Values With Pandas.mp4 195.9 MB
  • 6 - Pandas Data Analysis/53 - Selecting and Viewing Data with Pandas Part 2.mp4 195.5 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/188 - Custom Evaluation Function.mp4 192.9 MB
  • 9 - Scikitlearn Creating Machine Learning Models/133 - NEW Evaluating A Regression Model 1 R2 Score.mp4 190.1 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/177 - Project Environment Setup.mp4 187.7 MB
  • 8 - Matplotlib Plotting and Data Visualization/88 - Plotting From Pandas DataFrames 2.mp4 185.4 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/162 - Choosing The Right Models.mp4 183.3 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/153 - Project Environment Setup.mp4 182.5 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/189 - Reducing Data.mp4 176.8 MB
  • 18 - Learn Python Part 2/367 - Modules in Python.mp4 176.6 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/220 - Optional Reloading Colab Notebook.mp4 175.1 MB
  • 6 - Pandas Data Analysis/49 - Series Data Frames and CSVs.mp4 173.3 MB
  • 7 - NumPy/74 - Turn Images Into NumPy Arrays.mp4 172.8 MB
  • 9 - Scikitlearn Creating Machine Learning Models/135 - NEW Evaluating A Regression Model 3 MSE.mp4 169.4 MB
  • 9 - Scikitlearn Creating Machine Learning Models/139 - Improving A Machine Learning Model.mp4 169.1 MB
  • 8 - Matplotlib Plotting and Data Visualization/94 - Customizing Your Plots.mp4 169.0 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/225 - Preprocess Images.mp4 165.8 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/173 - Reviewing The Project.mp4 164.5 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/190 - RandomizedSearchCV.mp4 163.1 MB
  • 6 - Pandas Data Analysis/55 - Manipulating Data 2.mp4 162.9 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/227 - Turning Data Into Batches.mp4 162.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/235 - Building A Deep Learning Model 4.mp4 162.6 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/178 - Step 14 Framework Setup.mp4 162.6 MB
  • 7 - NumPy/71 - Exercise Nut Butter Store Sales.mp4 162.2 MB
  • 9 - Scikitlearn Creating Machine Learning Models/123 - NEW Evaluating A Machine Learning Model Score Part 1.mp4 160.6 MB
  • 1 - Introduction/2 - Join Our Online Classroom.mp4 158.9 MB
  • 9 - Scikitlearn Creating Machine Learning Models/132 - Evaluating A Classification Model 6 Classification Report.mp4 158.7 MB
  • 8 - Matplotlib Plotting and Data Visualization/80 - Importing And Using Matplotlib.mp4 153.7 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/218 - Using A GPU.mp4 153.4 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/186 - Splitting Data.mp4 153.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/122 - NEW Making Predictions With Our Model Regression.mp4 153.0 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/191 - Improving Hyperparameters.mp4 151.2 MB
  • 17 - Learn Python/279 - Python 2 vs Python 3.mp4 151.0 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/156 - Getting Our Tools Ready.mp4 149.3 MB
  • 9 - Scikitlearn Creating Machine Learning Models/125 - Evaluating A Machine Learning Model 2 Cross Validation.mp4 149.1 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/193 - Making Predictions.mp4 149.0 MB
  • 17 - Learn Python/275 - Python Interpreter.mp4 144.7 MB
  • 6 - Pandas Data Analysis/56 - Manipulating Data 3.mp4 143.6 MB
  • 9 - Scikitlearn Creating Machine Learning Models/130 - Evaluating A Classification Model 4 Confusion Matrix.mp4 142.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/240 - Evaluating Performance With TensorBoard.mp4 139.3 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/161 - Preparing Our Data For Machine Learning.mp4 135.2 MB
  • 5 - Data Science Environment Setup/45 - Jupyter Notebook Walkthrough 3.mp4 133.7 MB
  • 8 - Matplotlib Plotting and Data Visualization/89 - Plotting from Pandas DataFrames 3.mp4 133.3 MB
  • 8 - Matplotlib Plotting and Data Visualization/95 - Customizing Your Plots 2.mp4 129.6 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/169 - Evaluating Our Model.mp4 128.8 MB
  • 7 - NumPy/70 - Dot Product vs Element Wise.mp4 128.3 MB
  • 8 - Matplotlib Plotting and Data Visualization/92 - Plotting from Pandas DataFrames 6.mp4 126.9 MB
  • 6 - Pandas Data Analysis/58 - How To Download The Course Assignments.mp4 125.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/209 - Deep Learning and Unstructured Data.mp4 125.6 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/250 - Making Predictions On Our Images.mp4 125.2 MB
  • 8 - Matplotlib Plotting and Data Visualization/81 - Anatomy Of A Matplotlib Figure.mp4 125.0 MB
  • 9 - Scikitlearn Creating Machine Learning Models/140 - Tuning Hyperparameters.mp4 124.7 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/157 - Exploring Our Data.mp4 124.7 MB
  • 7 - NumPy/66 - Manipulating Arrays.mp4 124.6 MB
  • 9 - Scikitlearn Creating Machine Learning Models/120 - Making Predictions With Our Model.mp4 123.6 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/184 - Filling Missing Categorical Values.mp4 123.5 MB
  • 8 - Matplotlib Plotting and Data Visualization/83 - Histograms And Subplots.mp4 122.2 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/237 - Evaluating Our Model.mp4 121.6 MB
  • 7 - NumPy/67 - Manipulating Arrays 2.mp4 121.5 MB
  • 9 - Scikitlearn Creating Machine Learning Models/124 - NEW Evaluating A Machine Learning Model Score Part 2.mp4 120.8 MB
  • 9 - Scikitlearn Creating Machine Learning Models/127 - Evaluating A Classification Model 2 ROC Curve.mp4 119.2 MB
  • 7 - NumPy/62 - NumPy DataTypes and Attributes.mp4 119.1 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/167 - Tuning Hyperparameters 3.mp4 118.7 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/171 - Evaluating Our Model 3.mp4 117.3 MB
  • 6 - Pandas Data Analysis/51 - Describing Data with Pandas.mp4 117.2 MB
  • 18 - Learn Python Part 2/370 - Packages in Python.mp4 114.6 MB
  • 9 - Scikitlearn Creating Machine Learning Models/106 - Getting Your Data Ready Splitting Your Data.mp4 114.3 MB
  • 17 - Learn Python/286 - DEVELOPER FUNDAMENTALS I.mp4 112.3 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/158 - Finding Patterns.mp4 111.6 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/164 - TuningImproving Our Model.mp4 107.8 MB
  • 5 - Data Science Environment Setup/43 - Jupyter Notebook Walkthrough.mp4 106.9 MB
  • 9 - Scikitlearn Creating Machine Learning Models/119 - Fitting A Model To The Data.mp4 105.7 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/163 - Experimenting With Machine Learning Models.mp4 104.9 MB
  • 17 - Learn Python/290 - Variables.mp4 104.4 MB
  • 7 - NumPy/63 - Creating NumPy Arrays.mp4 102.5 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/185 - Fitting A Machine Learning Model.mp4 100.5 MB
  • 8 - Matplotlib Plotting and Data Visualization/82 - Scatter Plot And Bar Plot.mp4 100.1 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/224 - Creating Our Own Validation Set.mp4 99.4 MB
  • 8 - Matplotlib Plotting and Data Visualization/91 - Plotting from Pandas DataFrames 5.mp4 97.4 MB
  • 8 - Matplotlib Plotting and Data Visualization/96 - Saving And Sharing Your Plots.mp4 97.1 MB
  • 18 - Learn Python Part 2/324 - Conditional Logic.mp4 97.0 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/213 - Uploading Project Data.mp4 96.3 MB
  • 9 - Scikitlearn Creating Machine Learning Models/145 - Saving And Loading A Model.mp4 95.7 MB
  • 7 - NumPy/69 - Reshape and Transpose.mp4 95.7 MB
  • 17 - Learn Python/300 - BuiltIn Functions Methods.mp4 95.4 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/180 - Exploring Our Data 2.mp4 95.2 MB
  • 8 - Matplotlib Plotting and Data Visualization/86 - Plotting From Pandas DataFrames.mp4 93.8 MB
  • 17 - Learn Python/274 - What Is A Programming Language.mp4 92.1 MB
  • 6 - Pandas Data Analysis/52 - Selecting and Viewing Data with Pandas.mp4 90.2 MB
  • 9 - Scikitlearn Creating Machine Learning Models/146 - Saving And Loading A Model 2.mp4 90.0 MB
  • 9 - Scikitlearn Creating Machine Learning Models/128 - Evaluating A Classification Model 3 ROC Curve.mp4 89.5 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/230 - Preparing Our Inputs and Outputs.mp4 88.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/236 - Summarizing Our Model.mp4 86.0 MB
  • 7 - NumPy/65 - Viewing Arrays and Matrices.mp4 85.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/247 - Training Model On Full Dataset.mp4 84.9 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/211 - Setting Up Google Colab.mp4 84.2 MB
  • 17 - Learn Python/284 - Numbers.mp4 84.1 MB
  • 18 - Learn Python Part 2/340 - Our First GUI.mp4 83.3 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/165 - Tuning Hyperparameters.mp4 81.3 MB
  • 1 - Introduction/1 - Course Outline.mp4 81.0 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/214 - Setting Up Our Data.mp4 79.6 MB
  • 9 - Scikitlearn Creating Machine Learning Models/103 - Scikitlearn Cheatsheet.mp4 78.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/245 - Visualizing And Evaluate Model Predictions 3.mp4 78.6 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/249 - Submitting Model to Kaggle.mp4 78.5 MB
  • 9 - Scikitlearn Creating Machine Learning Models/134 - NEW Evaluating A Regression Model 2 MAE.mp4 77.6 MB
  • 18 - Learn Python Part 2/326 - Truthy vs Falsey.mp4 77.3 MB
  • 17 - Learn Python/276 - How To Run Python Code.mp4 75.9 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/170 - Evaluating Our Model 2.mp4 74.5 MB
  • 17 - Learn Python/322 - Sets 2.mp4 74.2 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/219 - Optional GPU and Google Colab.mp4 72.4 MB
  • 6 - Pandas Data Analysis/54 - Manipulating Data.mp4 72.2 MB
  • 18 - Learn Python Part 2/362 - reduce.mp4 69.0 MB
  • 18 - Learn Python Part 2/369 - Optional PyCharm.mp4 68.4 MB
  • 17 - Learn Python/308 - List Methods.mp4 68.3 MB
  • 13 - Data Engineering/196 - What Is Data.mp4 65.9 MB
  • 17 - Learn Python/277 - Our First Python Program.mp4 65.5 MB
  • 7 - NumPy/68 - Standard Deviation and Variance.mp4 64.5 MB
  • 7 - NumPy/64 - NumPy Random Seed.mp4 64.5 MB
  • 18 - Learn Python Part 2/358 - Pure Functions.mp4 63.3 MB
  • 5 - Data Science Environment Setup/39 - Windows Environment Setup.mp4 61.8 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/154 - Optional Windows Project Environment Setup.mp4 61.7 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/212 - Google Colab Workspace.mp4 61.3 MB
  • 18 - Learn Python Part 2/346 - return.mp4 59.5 MB
  • 5 - Data Science Environment Setup/44 - Jupyter Notebook Walkthrough 2.mp4 59.3 MB
  • 9 - Scikitlearn Creating Machine Learning Models/121 - predict vs predictproba.mp4 59.2 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/238 - Preventing Overfitting.mp4 57.6 MB
  • 8 - Matplotlib Plotting and Data Visualization/84 - Subplots Option 2.mp4 57.0 MB
  • 18 - Learn Python Part 2/333 - Iterables.mp4 56.9 MB
  • 7 - NumPy/75 - Exercise Imposter Syndrome.mp4 56.3 MB
  • 8 - Matplotlib Plotting and Data Visualization/90 - Plotting from Pandas DataFrames 4.mp4 55.6 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/159 - Finding Patterns 2.mp4 54.1 MB
  • 18 - Learn Python Part 2/359 - map.mp4 50.6 MB
  • 13 - Data Engineering/203 - Optional OLTP Databases.mp4 49.8 MB
  • 17 - Learn Python/318 - Dictionary Methods 2.mp4 48.5 MB
  • 9 - Scikitlearn Creating Machine Learning Models/126 - Evaluating A Classification Model 1 Accuracy.mp4 47.8 MB
  • 2 - Machine Learning 101/7 - Exercise Machine Learning Playground.mp4 44.7 MB
  • 13 - Data Engineering/201 - Types Of Databases.mp4 43.8 MB
  • 18 - Learn Python Part 2/341 - DEVELOPER FUNDAMENTALS IV.mp4 43.3 MB
  • 17 - Learn Python/303 - DEVELOPER FUNDAMENTALS II.mp4 41.4 MB
  • 17 - Learn Python/302 - Exercise Type Conversion.mp4 40.9 MB
  • 18 - Learn Python Part 2/371 - Different Ways To Import.mp4 40.9 MB
  • 17 - Learn Python/321 - Sets.mp4 40.9 MB
  • 7 - NumPy/73 - Sorting Arrays.mp4 40.7 MB
  • 18 - Learn Python Part 2/363 - List Comprehensions.mp4 40.7 MB
  • 17 - Learn Python/304 - Exercise Password Checker.mp4 40.6 MB
  • 7 - NumPy/72 - Comparison Operators.mp4 40.1 MB
  • 18 - Learn Python Part 2/348 - Methods vs Functions.mp4 39.5 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/215 - Setting Up Our Data 2.mp4 39.2 MB
  • 18 - Learn Python Part 2/330 - Exercise Logical Operators.mp4 38.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/217 - Optional TensorFlow 20 Default Issue.mp4 36.7 MB
  • 8 - Matplotlib Plotting and Data Visualization/79 - Matplotlib Introduction.mp4 36.4 MB
  • 18 - Learn Python Part 2/335 - range.mp4 36.0 MB
  • 18 - Learn Python Part 2/343 - Functions.mp4 35.7 MB
  • 9 - Scikitlearn Creating Machine Learning Models/101 - Refresher What Is Machine Learning.mp4 35.1 MB
  • 18 - Learn Python Part 2/355 - global Keyword.mp4 35.0 MB
  • 3 - Machine Learning and Data Science Framework/19 - Types of Data.mp4 34.8 MB
  • 17 - Learn Python/297 - Formatted Strings.mp4 34.7 MB
  • 18 - Learn Python Part 2/351 - args and kwargs.mp4 34.7 MB
  • 3 - Machine Learning and Data Science Framework/18 - Types of Machine Learning Problems.mp4 34.2 MB
  • 9 - Scikitlearn Creating Machine Learning Models/144 - Quick Tip Correlation Analysis.mp4 32.4 MB
  • 18 - Learn Python Part 2/331 - is vs.mp4 32.3 MB
  • 17 - Learn Python/311 - Common List Patterns.mp4 32.2 MB
  • 2 - Machine Learning 101/8 - How Did We Get Here.mp4 32.0 MB
  • 17 - Learn Python/310 - List Methods 3.mp4 30.9 MB
  • 18 - Learn Python Part 2/354 - Scope Rules.mp4 30.7 MB
  • 17 - Learn Python/309 - List Methods 2.mp4 30.6 MB
  • 18 - Learn Python Part 2/345 - Default Parameters and Keyword Arguments.mp4 30.6 MB
  • 17 - Learn Python/280 - Exercise How Does Python Work.mp4 30.2 MB
  • 3 - Machine Learning and Data Science Framework/21 - Features In Data.mp4 30.2 MB
  • 5 - Data Science Environment Setup/36 - Conda Environments.mp4 29.9 MB
  • 2 - Machine Learning 101/5 - What Is Machine Learning.mp4 29.7 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/152 - Project Overview.mp4 28.3 MB
  • 3 - Machine Learning and Data Science Framework/25 - Modelling Comparison.mp4 28.1 MB
  • 17 - Learn Python/306 - List Slicing.mp4 28.1 MB
  • 18 - Learn Python Part 2/364 - Set Comprehensions.mp4 27.9 MB
  • 9 - Scikitlearn Creating Machine Learning Models/99 - Scikitlearn Introduction.mp4 27.9 MB
  • 17 - Learn Python/298 - String Indexes.mp4 26.9 MB
  • 18 - Learn Python Part 2/329 - Logical Operators.mp4 26.6 MB
  • 18 - Learn Python Part 2/332 - For Loops.mp4 26.4 MB
  • 17 - Learn Python/295 - Type Conversion.mp4 26.1 MB
  • 13 - Data Engineering/198 - What Is A Data Engineer 2.mp4 25.4 MB
  • 17 - Learn Python/289 - Optional bin and complex.mp4 24.9 MB
  • 3 - Machine Learning and Data Science Framework/17 - 6 Step Machine Learning Framework.mp4 24.6 MB
  • 13 - Data Engineering/207 - Kafka and Stream Processing.mp4 24.0 MB
  • 7 - NumPy/59 - Section Overview.mp4 23.5 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/175 - Project Overview.mp4 23.2 MB
  • 18 - Learn Python Part 2/325 - Indentation In Python.mp4 23.0 MB
  • 7 - NumPy/60 - NumPy Introduction.mp4 22.4 MB
  • 15 - Storytelling Communication How To Present Your Work/253 - Communicating Your Work.mp4 22.1 MB
  • 17 - Learn Python/293 - Strings.mp4 22.1 MB
  • 18 - Learn Python Part 2/337 - While Loops.mp4 22.1 MB
  • 13 - Data Engineering/199 - What Is A Data Engineer 3.mp4 22.0 MB
  • 3 - Machine Learning and Data Science Framework/28 - Tools We Will Use.mp4 21.3 MB
  • 9 - Scikitlearn Creating Machine Learning Models/107 - Quick Tip Clean Transform Reduce.mp4 21.1 MB
  • 1 - Introduction/1669295499.mp48muba7q7.tmp 21.0 MB
  • 3 - Machine Learning and Data Science Framework/22 - Modelling Splitting Data.mp4 20.9 MB
  • 2 - Machine Learning 101/6 - AIMachine LearningData Science.mp4 20.6 MB
  • 17 - Learn Python/282 - Python Data Types.mp4 20.1 MB
  • 2 - Machine Learning 101/12 - What Is Machine Learning Round 2.mp4 19.8 MB
  • 13 - Data Engineering/197 - What Is A Data Engineer.mp4 19.7 MB
  • 17 - Learn Python/314 - Dictionaries.mp4 19.6 MB
  • 3 - Machine Learning and Data Science Framework/27 - Experimentation.mp4 19.6 MB
  • 17 - Learn Python/285 - Math Functions.mp4 19.1 MB
  • 6 - Pandas Data Analysis/48 - Pandas Introduction.mp4 18.6 MB
  • 18 - Learn Python Part 2/336 - enumerate.mp4 18.5 MB
  • 17 - Learn Python/301 - Booleans.mp4 18.4 MB
  • 18 - Learn Python Part 2/344 - Parameters and Arguments.mp4 18.3 MB
  • 18 - Learn Python Part 2/338 - While Loops 2.mp4 17.6 MB
  • 18 - Learn Python Part 2/352 - Exercise Functions.mp4 17.2 MB
  • 18 - Learn Python Part 2/357 - Why Do We Need Scope.mp4 16.8 MB
  • 18 - Learn Python Part 2/361 - zip.mp4 16.8 MB
  • 18 - Learn Python Part 2/342 - Exercise Find Duplicates.mp4 16.6 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/174 - Section Overview.mp4 16.5 MB
  • 18 - Learn Python Part 2/349 - Docstrings.mp4 16.5 MB
  • 20 - Where To Go From Here/376 - Thank You.mp4 16.1 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/208 - Section Overview.mp4 15.8 MB
  • 17 - Learn Python/319 - Tuples.mp4 15.8 MB
  • 17 - Learn Python/317 - Dictionary Methods.mp4 15.7 MB
  • 18 - Learn Python Part 2/360 - filter.mp4 15.7 MB
  • 17 - Learn Python/315 - DEVELOPER FUNDAMENTALS III.mp4 15.6 MB
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