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种子名称： [GigaCourse.Com] Udemy - Complete Machine Learning Data Science Bootcamp 2023
文件类型： 视频
文件数目： 324个文件
文件大小： 30.23 GB
收录时间： 2024-4-24 06:18
已经下载： 3次
资源热度： 191
最近下载： 2024-12-23 03:16

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[GigaCourse.Com] Udemy - Complete Machine Learning Data Science Bootcamp 2023.torrent

1 - Introduction/1 - Course Outline.mp4144.53MB

1 - Introduction/2 - Join Our Online Classroom.mp4151.62MB

1 - Introduction/5 - Your First Day.mp443.08MB

11 - Milestone Project 1 Supervised Learning Classification/153 - Section Overview.mp47.05MB

11 - Milestone Project 1 Supervised Learning Classification/154 - Project Overview.mp422.14MB

11 - Milestone Project 1 Supervised Learning Classification/155 - Project Environment Setup.mp4174.37MB

11 - Milestone Project 1 Supervised Learning Classification/156 - Optional Windows Project Environment Setup.mp459.05MB

11 - Milestone Project 1 Supervised Learning Classification/157 - Step 14 Framework Setup.mp4191.34MB

11 - Milestone Project 1 Supervised Learning Classification/159 - Getting Our Tools Ready.mp4142.63MB

11 - Milestone Project 1 Supervised Learning Classification/160 - Exploring Our Data.mp4119.2MB

11 - Milestone Project 1 Supervised Learning Classification/161 - Finding Patterns.mp4106.68MB

11 - Milestone Project 1 Supervised Learning Classification/162 - Finding Patterns 2.mp4166.51MB

11 - Milestone Project 1 Supervised Learning Classification/163 - Finding Patterns 3.mp4249.27MB

11 - Milestone Project 1 Supervised Learning Classification/164 - Preparing Our Data For Machine Learning.mp4129.14MB

11 - Milestone Project 1 Supervised Learning Classification/165 - Choosing The Right Models.mp4175.12MB

11 - Milestone Project 1 Supervised Learning Classification/166 - Experimenting With Machine Learning Models.mp4100.24MB

11 - Milestone Project 1 Supervised Learning Classification/167 - TuningImproving Our Model.mp4179.94MB

11 - Milestone Project 1 Supervised Learning Classification/168 - Tuning Hyperparameters.mp4194.1MB

11 - Milestone Project 1 Supervised Learning Classification/169 - Tuning Hyperparameters 2.mp4188.33MB

11 - Milestone Project 1 Supervised Learning Classification/170 - Tuning Hyperparameters 3.mp4113.2MB

11 - Milestone Project 1 Supervised Learning Classification/172 - Evaluating Our Model.mp4123.07MB

11 - Milestone Project 1 Supervised Learning Classification/174 - Evaluating Our Model 2.mp471.34MB

11 - Milestone Project 1 Supervised Learning Classification/175 - Evaluating Our Model 3.mp4112.11MB

11 - Milestone Project 1 Supervised Learning Classification/176 - Finding The Most Important Features.mp4223.13MB

11 - Milestone Project 1 Supervised Learning Classification/177 - Reviewing The Project.mp4157.18MB

12 - Milestone Project 2 Supervised Learning Time Series Data/178 - Section Overview.mp415.82MB

12 - Milestone Project 2 Supervised Learning Time Series Data/179 - Project Overview.mp426.34MB

12 - Milestone Project 2 Supervised Learning Time Series Data/181 - Project Environment Setup.mp4179.25MB

12 - Milestone Project 2 Supervised Learning Time Series Data/182 - Step 14 Framework Setup.mp4155.21MB

12 - Milestone Project 2 Supervised Learning Time Series Data/183 - Exploring Our Data.mp4252.06MB

12 - Milestone Project 2 Supervised Learning Time Series Data/184 - Exploring Our Data 2.mp491.05MB

12 - Milestone Project 2 Supervised Learning Time Series Data/185 - Feature Engineering.mp4291.02MB

12 - Milestone Project 2 Supervised Learning Time Series Data/186 - Turning Data Into Numbers.mp4266.33MB

12 - Milestone Project 2 Supervised Learning Time Series Data/187 - Filling Missing Numerical Values.mp4190.46MB

12 - Milestone Project 2 Supervised Learning Time Series Data/188 - Filling Missing Categorical Values.mp4118.08MB

12 - Milestone Project 2 Supervised Learning Time Series Data/189 - Fitting A Machine Learning Model.mp495.91MB

12 - Milestone Project 2 Supervised Learning Time Series Data/190 - Splitting Data.mp4146.4MB

12 - Milestone Project 2 Supervised Learning Time Series Data/192 - Custom Evaluation Function.mp4184.37MB

12 - Milestone Project 2 Supervised Learning Time Series Data/193 - Reducing Data.mp4169.1MB

12 - Milestone Project 2 Supervised Learning Time Series Data/194 - RandomizedSearchCV.mp4155.85MB

12 - Milestone Project 2 Supervised Learning Time Series Data/195 - Improving Hyperparameters.mp4144.53MB

12 - Milestone Project 2 Supervised Learning Time Series Data/196 - Preproccessing Our Data.mp4259.34MB

12 - Milestone Project 2 Supervised Learning Time Series Data/197 - Making Predictions.mp4142.39MB

12 - Milestone Project 2 Supervised Learning Time Series Data/198 - Feature Importance.mp4254.58MB

13 - Data Engineering/199 - Data Engineering Introduction.mp49.69MB

13 - Data Engineering/200 - What Is Data.mp463.08MB

13 - Data Engineering/201 - What Is A Data Engineer.mp418.89MB

13 - Data Engineering/202 - What Is A Data Engineer 2.mp418.83MB

13 - Data Engineering/203 - What Is A Data Engineer 3.mp421.15MB

13 - Data Engineering/204 - What Is A Data Engineer 4.mp411.41MB

13 - Data Engineering/205 - Types Of Databases.mp441.92MB

13 - Data Engineering/207 - Optional OLTP Databases.mp4124.38MB

13 - Data Engineering/209 - Hadoop HDFS and MapReduce.mp47.06MB

13 - Data Engineering/210 - Apache Spark and Apache Flink.mp44.47MB

13 - Data Engineering/211 - Kafka and Stream Processing.mp423.03MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/212 - Section Overview.mp410.59MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/213 - Deep Learning and Unstructured Data.mp467.41MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/215 - Setting Up Google Colab.mp4136.42MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/216 - Google Colab Workspace.mp458.59MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/217 - Uploading Project Data.mp491.99MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/218 - Setting Up Our Data.mp476.19MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/219 - Setting Up Our Data 2.mp437.44MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/220 - Importing TensorFlow 2.mp4211.05MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/221 - Optional TensorFlow 20 Default Issue.mp435.17MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/222 - Using A GPU.mp4146.49MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/223 - Optional GPU and Google Colab.mp469.22MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/224 - Optional Reloading Colab Notebook.mp4167.08MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/225 - Loading Our Data Labels.mp4206.23MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/226 - Preparing The Images.mp4243.72MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/227 - Turning Data Labels Into Numbers.mp4195.88MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/228 - Creating Our Own Validation Set.mp495.17MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/229 - Preprocess Images.mp4158.27MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/230 - Preprocess Images 2.mp4190.68MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/231 - Turning Data Into Batches.mp4131.91MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/232 - Turning Data Into Batches 2.mp4266.47MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/233 - Visualizing Our Data.mp4222.52MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/234 - Preparing Our Inputs and Outputs.mp484.89MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/236 - Building A Deep Learning Model.mp4224.8MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/237 - Building A Deep Learning Model 2.mp4192.52MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/238 - Building A Deep Learning Model 3.mp4197.71MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/239 - Building A Deep Learning Model 4.mp4128.71MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/240 - Summarizing Our Model.mp482.18MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/241 - Evaluating Our Model.mp4116.55MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/242 - Preventing Overfitting.mp454.95MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/243 - Training Your Deep Neural Network.mp4297.53MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/244 - Evaluating Performance With TensorBoard.mp4133.4MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/245 - Make And Transform Predictions.mp4279MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/246 - Transform Predictions To Text.mp4229.11MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/247 - Visualizing Model Predictions.mp4210.23MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/248 - Visualizing And Evaluate Model Predictions 2.mp4254.23MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/249 - Visualizing And Evaluate Model Predictions 3.mp4209.25MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/250 - Saving And Loading A Trained Model.mp4227.22MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/251 - Training Model On Full Dataset.mp4251.75MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/252 - Making Predictions On Test Images.mp4245.44MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/253 - Submitting Model to Kaggle.mp4177.01MB

14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/254 - Making Predictions On Our Images.mp4210.21MB

15 - Storytelling Communication How To Present Your Work/256 - Section Overview.mp47.64MB

15 - Storytelling Communication How To Present Your Work/257 - Communicating Your Work.mp413.74MB

15 - Storytelling Communication How To Present Your Work/258 - Communicating With Managers.mp411.04MB

15 - Storytelling Communication How To Present Your Work/259 - Communicating With CoWorkers.mp411.5MB

15 - Storytelling Communication How To Present Your Work/260 - Weekend Project Principle.mp415.02MB

15 - Storytelling Communication How To Present Your Work/261 - Communicating With Outside World.mp49.27MB

15 - Storytelling Communication How To Present Your Work/262 - Storytelling.mp46.95MB

16 - Career Advice Extra Bits/266 - What If I Dont Have Enough Experience.mp4312.77MB

16 - Career Advice Extra Bits/269 - JTS Learn to Learn.mp410.48MB

16 - Career Advice Extra Bits/270 - JTS Start With Why.mp414.38MB

16 - Career Advice Extra Bits/272 - CWD Git Github.mp4363.33MB

16 - Career Advice Extra Bits/273 - CWD Git Github 2.mp4229.22MB

16 - Career Advice Extra Bits/274 - Contributing To Open Source.mp4138.01MB

16 - Career Advice Extra Bits/275 - Contributing To Open Source 2.mp4121.11MB

17 - Learn Python/278 - What Is A Programming Language.mp434.27MB

17 - Learn Python/279 - Python Interpreter.mp488.52MB

17 - Learn Python/280 - How To Run Python Code.mp461.15MB

17 - Learn Python/281 - Latest Version Of Python.mp410.92MB

17 - Learn Python/282 - Our First Python Program.mp434.15MB

17 - Learn Python/283 - Python 2 vs Python 3.mp475.87MB

17 - Learn Python/284 - Exercise How Does Python Work.mp416.72MB

17 - Learn Python/285 - Learning Python.mp412.13MB

17 - Learn Python/286 - Python Data Types.mp419.31MB

17 - Learn Python/288 - Numbers.mp4105.83MB

17 - Learn Python/289 - Math Functions.mp428.45MB

17 - Learn Python/290 - DEVELOPER FUNDAMENTALS I.mp4107.47MB

17 - Learn Python/291 - Operator Precedence.mp48.44MB

17 - Learn Python/293 - Optional bin and complex.mp423.84MB

17 - Learn Python/294 - Variables.mp4100.02MB

17 - Learn Python/295 - Expressions vs Statements.mp44.86MB

17 - Learn Python/296 - Augmented Assignment Operator.mp48.55MB

17 - Learn Python/297 - Strings.mp421.25MB

17 - Learn Python/298 - String Concatenation.mp43.78MB

17 - Learn Python/299 - Type Conversion.mp425.03MB

17 - Learn Python/300 - Escape Sequences.mp413.09MB

17 - Learn Python/301 - Formatted Strings.mp433.38MB

17 - Learn Python/302 - String Indexes.mp425.92MB

17 - Learn Python/303 - Immutability.mp412.78MB

17 - Learn Python/304 - BuiltIn Functions Methods.mp491.42MB

17 - Learn Python/305 - Booleans.mp417.67MB

17 - Learn Python/306 - Exercise Type Conversion.mp439.31MB

17 - Learn Python/307 - DEVELOPER FUNDAMENTALS II.mp439.61MB

17 - Learn Python/308 - Exercise Password Checker.mp455.59MB

17 - Learn Python/309 - Lists.mp413.13MB

17 - Learn Python/310 - List Slicing.mp427.05MB

17 - Learn Python/311 - Matrix.mp410.79MB

17 - Learn Python/312 - List Methods.mp465.4MB

17 - Learn Python/313 - List Methods 2.mp429.38MB

17 - Learn Python/314 - List Methods 3.mp429.61MB

17 - Learn Python/315 - Common List Patterns.mp426.57MB

17 - Learn Python/316 - List Unpacking.mp49.38MB

17 - Learn Python/317 - None.mp44.54MB

17 - Learn Python/318 - Dictionaries.mp418.94MB

17 - Learn Python/319 - DEVELOPER FUNDAMENTALS III.mp415.01MB

17 - Learn Python/320 - Dictionary Keys.mp412.04MB

17 - Learn Python/321 - Dictionary Methods.mp415.16MB

17 - Learn Python/322 - Dictionary Methods 2.mp446.52MB

17 - Learn Python/323 - Tuples.mp415.22MB

17 - Learn Python/324 - Tuples 2.mp411.67MB

17 - Learn Python/325 - Sets.mp439.26MB

17 - Learn Python/326 - Sets 2.mp471.08MB

18 - Learn Python Part 2/327 - Breaking The Flow.mp412.8MB

18 - Learn Python Part 2/328 - Conditional Logic.mp492.92MB

18 - Learn Python Part 2/329 - Indentation In Python.mp422.14MB

18 - Learn Python Part 2/330 - Truthy vs Falsey.mp473.85MB

18 - Learn Python Part 2/331 - Ternary Operator.mp412.64MB

18 - Learn Python Part 2/332 - Short Circuiting.mp412.35MB

18 - Learn Python Part 2/333 - Logical Operators.mp425.6MB

18 - Learn Python Part 2/334 - Exercise Logical Operators.mp437.27MB

18 - Learn Python Part 2/335 - is vs.mp422.55MB

18 - Learn Python Part 2/336 - For Loops.mp425.44MB

18 - Learn Python Part 2/337 - Iterables.mp454.49MB

18 - Learn Python Part 2/338 - Exercise Tricky Counter.mp414.25MB

18 - Learn Python Part 2/339 - range.mp434.45MB

18 - Learn Python Part 2/340 - enumerate.mp417.81MB

18 - Learn Python Part 2/341 - While Loops.mp421.24MB

18 - Learn Python Part 2/342 - While Loops 2.mp416.93MB

18 - Learn Python Part 2/343 - break continue pass.mp414.25MB

18 - Learn Python Part 2/344 - Our First GUI.mp479.74MB

18 - Learn Python Part 2/345 - DEVELOPER FUNDAMENTALS IV.mp441.59MB

18 - Learn Python Part 2/346 - Exercise Find Duplicates.mp415.94MB

18 - Learn Python Part 2/347 - Functions.mp427MB

18 - Learn Python Part 2/348 - Parameters and Arguments.mp417.6MB

18 - Learn Python Part 2/349 - Default Parameters and Keyword Arguments.mp429.32MB

18 - Learn Python Part 2/350 - return.mp457.12MB

18 - Learn Python Part 2/352 - Methods vs Functions.mp452.1MB

18 - Learn Python Part 2/353 - Docstrings.mp415.84MB

18 - Learn Python Part 2/354 - Clean Code.mp413.18MB

18 - Learn Python Part 2/355 - args and kwargs.mp433.33MB

18 - Learn Python Part 2/356 - Exercise Functions.mp416.51MB

18 - Learn Python Part 2/357 - Scope.mp412.61MB

18 - Learn Python Part 2/358 - Scope Rules.mp423.8MB

18 - Learn Python Part 2/359 - global Keyword.mp433.56MB

18 - Learn Python Part 2/360 - nonlocal Keyword.mp414.65MB

18 - Learn Python Part 2/361 - Why Do We Need Scope.mp416.16MB

18 - Learn Python Part 2/362 - Pure Functions.mp460.64MB

18 - Learn Python Part 2/363 - map.mp448.46MB

18 - Learn Python Part 2/364 - filter.mp415.11MB

18 - Learn Python Part 2/365 - zip.mp416.11MB

18 - Learn Python Part 2/366 - reduce.mp466.08MB

18 - Learn Python Part 2/367 - List Comprehensions.mp439.13MB

18 - Learn Python Part 2/368 - Set Comprehensions.mp426.8MB

18 - Learn Python Part 2/369 - Exercise Comprehensions.mp414.73MB

18 - Learn Python Part 2/371 - Modules in Python.mp4169.06MB

18 - Learn Python Part 2/373 - Optional PyCharm.mp465.49MB

18 - Learn Python Part 2/374 - Packages in Python.mp4109.64MB

18 - Learn Python Part 2/375 - Different Ways To Import.mp439.25MB

2 - Machine Learning 101/10 - How Did We Get Here.mp455.58MB

2 - Machine Learning 101/11 - Exercise YouTube Recommendation Engine.mp413.06MB

2 - Machine Learning 101/12 - Types of Machine Learning.mp414.97MB

2 - Machine Learning 101/14 - What Is Machine Learning Round 2.mp419.07MB

2 - Machine Learning 101/15 - Section Review.mp44.04MB

2 - Machine Learning 101/6 - What Is Machine Learning.mp429.9MB

2 - Machine Learning 101/7 - AIMachine LearningData Science.mp422.73MB

2 - Machine Learning 101/8 - ZTM Resources.mp479.72MB

2 - Machine Learning 101/9 - Exercise Machine Learning Playground.mp465.5MB

20 - Where To Go From Here/380 - Thank You.mp415.5MB

3 - Machine Learning and Data Science Framework/17 - Section Overview.mp49.58MB

3 - Machine Learning and Data Science Framework/18 - Introducing Our Framework.mp47.71MB

3 - Machine Learning and Data Science Framework/19 - 6 Step Machine Learning Framework.mp415.22MB

3 - Machine Learning and Data Science Framework/20 - Types of Machine Learning Problems.mp432.95MB

3 - Machine Learning and Data Science Framework/21 - Types of Data.mp433.34MB

3 - Machine Learning and Data Science Framework/22 - Types of Evaluation.mp49.71MB

3 - Machine Learning and Data Science Framework/23 - Features In Data.mp429MB

3 - Machine Learning and Data Science Framework/24 - Modelling Splitting Data.mp420.09MB

3 - Machine Learning and Data Science Framework/25 - Modelling Picking the Model.mp413.01MB

3 - Machine Learning and Data Science Framework/26 - Modelling Tuning.mp49.25MB

3 - Machine Learning and Data Science Framework/27 - Modelling Comparison.mp427.14MB

3 - Machine Learning and Data Science Framework/29 - Experimentation.mp418.83MB

3 - Machine Learning and Data Science Framework/30 - Tools We Will Use.mp423.98MB

4 - The 2 Paths/32 - The 2 Paths.mp46.94MB

5 - Data Science Environment Setup/35 - Section Overview.mp43.91MB

5 - Data Science Environment Setup/36 - Introducing Our Tools.mp416.37MB

5 - Data Science Environment Setup/37 - What is Conda.mp47.34MB

5 - Data Science Environment Setup/38 - Conda Environments.mp428.65MB

5 - Data Science Environment Setup/39 - Mac Environment Setup.mp4261.92MB

5 - Data Science Environment Setup/40 - Mac Environment Setup 2.mp4223.27MB

5 - Data Science Environment Setup/41 - Windows Environment Setup.mp459.15MB

5 - Data Science Environment Setup/42 - Windows Environment Setup 2.mp4417.54MB

5 - Data Science Environment Setup/45 - Jupyter Notebook Walkthrough.mp4102.3MB

5 - Data Science Environment Setup/46 - Jupyter Notebook Walkthrough 2.mp4174.87MB

5 - Data Science Environment Setup/47 - Jupyter Notebook Walkthrough 3.mp4127.7MB

6 - Pandas Data Analysis/48 - Section Overview.mp47.8MB

6 - Pandas Data Analysis/50 - Pandas Introduction.mp417.84MB

6 - Pandas Data Analysis/51 - Series Data Frames and CSVs.mp4165.75MB

6 - Pandas Data Analysis/53 - Describing Data with Pandas.mp4112.17MB

6 - Pandas Data Analysis/54 - Selecting and Viewing Data with Pandas.mp4106.3MB

6 - Pandas Data Analysis/55 - Selecting and Viewing Data with Pandas Part 2.mp4186.87MB

6 - Pandas Data Analysis/56 - Manipulating Data.mp4180.41MB

6 - Pandas Data Analysis/57 - Manipulating Data 2.mp4155.61MB

6 - Pandas Data Analysis/58 - Manipulating Data 3.mp4137.23MB

6 - Pandas Data Analysis/60 - How To Download The Course Assignments.mp4120.33MB

7 - NumPy/61 - Section Overview.mp422.49MB

7 - NumPy/62 - NumPy Introduction.mp421.52MB

7 - NumPy/64 - NumPy DataTypes and Attributes.mp4114.03MB

7 - NumPy/65 - Creating NumPy Arrays.mp477.68MB

7 - NumPy/66 - NumPy Random Seed.mp461.67MB

7 - NumPy/67 - Viewing Arrays and Matrices.mp4103.66MB

7 - NumPy/68 - Manipulating Arrays.mp4119.17MB

7 - NumPy/69 - Manipulating Arrays 2.mp4116.07MB

7 - NumPy/70 - Standard Deviation and Variance.mp435.74MB

7 - NumPy/71 - Reshape and Transpose.mp491.5MB

7 - NumPy/72 - Dot Product vs Element Wise.mp4122.81MB

7 - NumPy/73 - Exercise Nut Butter Store Sales.mp4155.05MB

7 - NumPy/74 - Comparison Operators.mp438.34MB

7 - NumPy/75 - Sorting Arrays.mp420.18MB

7 - NumPy/76 - Turn Images Into NumPy Arrays.mp4164.89MB

7 - NumPy/77 - Exercise Imposter Syndrome.mp453.8MB

8 - Matplotlib Plotting and Data Visualization/80 - Section Overview.mp46.06MB

8 - Matplotlib Plotting and Data Visualization/81 - Matplotlib Introduction.mp434.92MB

8 - Matplotlib Plotting and Data Visualization/82 - Importing And Using Matplotlib.mp4146.91MB

8 - Matplotlib Plotting and Data Visualization/83 - Anatomy Of A Matplotlib Figure.mp4119.47MB

8 - Matplotlib Plotting and Data Visualization/84 - Scatter Plot And Bar Plot.mp495.78MB

8 - Matplotlib Plotting and Data Visualization/85 - Histograms And Subplots.mp4117.24MB

8 - Matplotlib Plotting and Data Visualization/86 - Subplots Option 2.mp454.46MB

8 - Matplotlib Plotting and Data Visualization/87 - Quick Tip Data Visualizations.mp48.37MB

8 - Matplotlib Plotting and Data Visualization/88 - Plotting From Pandas DataFrames.mp4109.82MB

8 - Matplotlib Plotting and Data Visualization/90 - Plotting From Pandas DataFrames 2.mp4176.96MB

8 - Matplotlib Plotting and Data Visualization/91 - Plotting from Pandas DataFrames 3.mp4127.44MB

8 - Matplotlib Plotting and Data Visualization/92 - Plotting from Pandas DataFrames 4.mp453.31MB

8 - Matplotlib Plotting and Data Visualization/93 - Plotting from Pandas DataFrames 5.mp493.01MB

8 - Matplotlib Plotting and Data Visualization/94 - Plotting from Pandas DataFrames 6.mp4121.39MB

8 - Matplotlib Plotting and Data Visualization/95 - Plotting from Pandas DataFrames 7.mp463.39MB

8 - Matplotlib Plotting and Data Visualization/96 - Customizing Your Plots.mp4161.48MB

8 - Matplotlib Plotting and Data Visualization/97 - Customizing Your Plots 2.mp4235.48MB

8 - Matplotlib Plotting and Data Visualization/98 - Saving And Sharing Your Plots.mp492.86MB

9 - Scikitlearn Creating Machine Learning Models/100 - Section Overview.mp48.7MB

9 - Scikitlearn Creating Machine Learning Models/101 - Scikitlearn Introduction.mp426.78MB

9 - Scikitlearn Creating Machine Learning Models/103 - Refresher What Is Machine Learning.mp433.66MB

9 - Scikitlearn Creating Machine Learning Models/105 - Scikitlearn Cheatsheet.mp4139.86MB

9 - Scikitlearn Creating Machine Learning Models/106 - Typical scikitlearn Workflow.mp4336.69MB

9 - Scikitlearn Creating Machine Learning Models/107 - Optional Debugging Warnings In Jupyter.mp4322.27MB

9 - Scikitlearn Creating Machine Learning Models/108 - Getting Your Data Ready Splitting Your Data.mp4109.19MB

9 - Scikitlearn Creating Machine Learning Models/109 - Quick Tip Clean Transform Reduce.mp420.33MB

9 - Scikitlearn Creating Machine Learning Models/110 - Getting Your Data Ready Convert Data To Numbers.mp4237.46MB

9 - Scikitlearn Creating Machine Learning Models/112 - Getting Your Data Ready Handling Missing Values With Pandas.mp4187.04MB

9 - Scikitlearn Creating Machine Learning Models/115 - Getting Your Data Ready Handling Missing Values With Scikitlearn.mp4242.27MB

9 - Scikitlearn Creating Machine Learning Models/116 - NEW Choosing The Right Model For Your Data.mp4354.22MB

9 - Scikitlearn Creating Machine Learning Models/117 - NEW Choosing The Right Model For Your Data 2 Regression.mp4240.25MB

9 - Scikitlearn Creating Machine Learning Models/119 - Quick Tip How ML Algorithms Work.mp410.96MB

9 - Scikitlearn Creating Machine Learning Models/120 - Choosing The Right Model For Your Data 3 Classification.mp4216.78MB

9 - Scikitlearn Creating Machine Learning Models/121 - Fitting A Model To The Data.mp4101.09MB

9 - Scikitlearn Creating Machine Learning Models/122 - Making Predictions With Our Model.mp4118.23MB

9 - Scikitlearn Creating Machine Learning Models/123 - predict vs predictproba.mp466.77MB

9 - Scikitlearn Creating Machine Learning Models/124 - NEW Making Predictions With Our Model Regression.mp4146.18MB

9 - Scikitlearn Creating Machine Learning Models/125 - NEW Evaluating A Machine Learning Model Score Part 1.mp461.38MB

9 - Scikitlearn Creating Machine Learning Models/126 - NEW Evaluating A Machine Learning Model Score Part 2.mp4115.47MB

9 - Scikitlearn Creating Machine Learning Models/127 - Evaluating A Machine Learning Model 2 Cross Validation.mp4142.71MB

9 - Scikitlearn Creating Machine Learning Models/128 - Evaluating A Classification Model 1 Accuracy.mp452.61MB

9 - Scikitlearn Creating Machine Learning Models/129 - Evaluating A Classification Model 2 ROC Curve.mp4113.92MB

9 - Scikitlearn Creating Machine Learning Models/130 - Evaluating A Classification Model 3 ROC Curve.mp485.61MB

9 - Scikitlearn Creating Machine Learning Models/132 - Evaluating A Classification Model 4 Confusion Matrix.mp4136.48MB

9 - Scikitlearn Creating Machine Learning Models/133 - NEW Evaluating A Classification Model 5 Confusion Matrix.mp4232.42MB

9 - Scikitlearn Creating Machine Learning Models/134 - Evaluating A Classification Model 6 Classification Report.mp4151.54MB

9 - Scikitlearn Creating Machine Learning Models/135 - NEW Evaluating A Regression Model 1 R2 Score.mp4181.46MB

9 - Scikitlearn Creating Machine Learning Models/136 - NEW Evaluating A Regression Model 2 MAE.mp474.22MB

9 - Scikitlearn Creating Machine Learning Models/137 - NEW Evaluating A Regression Model 3 MSE.mp4161.91MB

9 - Scikitlearn Creating Machine Learning Models/139 - NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4410.96MB

9 - Scikitlearn Creating Machine Learning Models/140 - NEW Evaluating A Model With Scikitlearn Functions.mp4241.76MB

9 - Scikitlearn Creating Machine Learning Models/141 - Improving A Machine Learning Model.mp4161.6MB

9 - Scikitlearn Creating Machine Learning Models/142 - Tuning Hyperparameters.mp4310.69MB

9 - Scikitlearn Creating Machine Learning Models/143 - Tuning Hyperparameters 2.mp4202.9MB

9 - Scikitlearn Creating Machine Learning Models/144 - Tuning Hyperparameters 3.mp4212.6MB

9 - Scikitlearn Creating Machine Learning Models/146 - Quick Tip Correlation Analysis.mp430.93MB

9 - Scikitlearn Creating Machine Learning Models/147 - Saving And Loading A Model.mp491.61MB

9 - Scikitlearn Creating Machine Learning Models/148 - Saving And Loading A Model 2.mp486.09MB

9 - Scikitlearn Creating Machine Learning Models/149 - Putting It All Together.mp4261.83MB

9 - Scikitlearn Creating Machine Learning Models/150 - Putting It All Together 2.mp4211.7MB