种子简介

种子名称： udemy-complete-machine-learning-and-data-science-zero-to-mastery_202112
文件类型： 视频
文件数目： 318个文件
文件大小： 19.21 GB
收录时间： 2023-3-25 16:54
已经下载： 3次
资源热度： 164
最近下载： 2024-11-16 12:58

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:1ad9d655661b3947f7b4c0519fab99a88289845a&dn=udemy-complete-machine-learning-and-data-science-zero-to-mastery_202112 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

udemy-complete-machine-learning-and-data-science-zero-to-mastery_202112.torrent

05 Data Science Environment Setup/031 Section Overview.mp46.03MB

05 Data Science Environment Setup/032 Introducing Our Tools.mp419.29MB

05 Data Science Environment Setup/033 What is Conda.mp412.48MB

05 Data Science Environment Setup/034 Conda Environments.mp430.56MB

05 Data Science Environment Setup/035 Mac Environment Setup.mp4144.39MB

05 Data Science Environment Setup/036 Mac Environment Setup 2.mp4125.46MB

05 Data Science Environment Setup/037 Windows Environment Setup.mp447.92MB

05 Data Science Environment Setup/038 Windows Environment Setup 2.mp4227.6MB

05 Data Science Environment Setup/041 Jupyter Notebook Walkthrough.mp467.35MB

05 Data Science Environment Setup/042 Jupyter Notebook Walkthrough 2.mp4103.9MB

05 Data Science Environment Setup/043 Jupyter Notebook Walkthrough 3.mp471.42MB

06 Pandas Data Analysis/044 Section Overview.mp410.87MB

06 Pandas Data Analysis/046 Pandas Introduction.mp427.44MB

06 Pandas Data Analysis/047 Series Data Frames and CSVs.mp495.37MB

06 Pandas Data Analysis/049 Describing Data with Pandas.mp475.56MB

06 Pandas Data Analysis/050 Selecting and Viewing Data with Pandas.mp472.35MB

06 Pandas Data Analysis/051 Selecting and Viewing Data with Pandas Part 2.mp4106.5MB

06 Pandas Data Analysis/052 Manipulating Data.mp4104.99MB

06 Pandas Data Analysis/053 Manipulating Data 2.mp486.53MB

06 Pandas Data Analysis/054 Manipulating Data 3.mp491.02MB

06 Pandas Data Analysis/056 How To Download The Course Assignments.mp466.78MB

15 Storytelling Communication How To Present Your Work/241 Section Overview.mp410.92MB

15 Storytelling Communication How To Present Your Work/242 Communicating Your Work.mp420.2MB

15 Storytelling Communication How To Present Your Work/243 Communicating With Managers.mp418.38MB

15 Storytelling Communication How To Present Your Work/244 Communicating With Co-Workers.mp418.99MB

15 Storytelling Communication How To Present Your Work/245 Weekend Project Principle.mp423.58MB

15 Storytelling Communication How To Present Your Work/246 Communicating With Outside World.mp414.52MB

15 Storytelling Communication How To Present Your Work/247 Storytelling.mp412.02MB

03 Machine Learning and Data Science Framework/014 Section Overview.mp413.35MB

03 Machine Learning and Data Science Framework/015 Introducing Our Framework.mp411.38MB

03 Machine Learning and Data Science Framework/016 6 Step Machine Learning Framework.mp423.46MB

03 Machine Learning and Data Science Framework/017 Types of Machine Learning Problems.mp460.5MB

03 Machine Learning and Data Science Framework/018 Types of Data.mp429.32MB

03 Machine Learning and Data Science Framework/019 Types of Evaluation.mp417.75MB

03 Machine Learning and Data Science Framework/020 Features In Data.mp436.78MB

03 Machine Learning and Data Science Framework/021 Modelling - Splitting Data.mp427.51MB

03 Machine Learning and Data Science Framework/022 Modelling - Picking the Model.mp423.24MB

03 Machine Learning and Data Science Framework/023 Modelling - Tuning.mp415.98MB

03 Machine Learning and Data Science Framework/024 Modelling - Comparison.mp444.88MB

03 Machine Learning and Data Science Framework/026 Experimentation.mp421.33MB

03 Machine Learning and Data Science Framework/027 Tools We Will Use.mp427.33MB

18 Learn Python Part 2/311 Breaking The Flow.mp420.33MB

18 Learn Python Part 2/312 Conditional Logic.mp474.58MB

18 Learn Python Part 2/313 Indentation In Python.mp428.02MB

18 Learn Python Part 2/314 Truthy vs Falsey.mp442.82MB

18 Learn Python Part 2/315 Ternary Operator.mp419.7MB

18 Learn Python Part 2/316 Short Circuiting.mp419.39MB

18 Learn Python Part 2/317 Logical Operators.mp428.33MB

18 Learn Python Part 2/318 Exercise Logical Operators.mp446.62MB

18 Learn Python Part 2/319 is vs.mp433.57MB

18 Learn Python Part 2/320 For Loops.mp434.31MB

18 Learn Python Part 2/321 Iterables.mp443.2MB

18 Learn Python Part 2/322 Exercise Tricky Counter.mp416.39MB

18 Learn Python Part 2/323 range().mp428.32MB

18 Learn Python Part 2/324 enumerate().mp424.8MB

18 Learn Python Part 2/325 While Loops.mp428.32MB

18 Learn Python Part 2/326 While Loops 2.mp425.93MB

18 Learn Python Part 2/327 break continue pass.mp422.21MB

18 Learn Python Part 2/328 Our First GUI.mp449.63MB

18 Learn Python Part 2/329 DEVELOPER FUNDAMENTALS IV.mp450.22MB

18 Learn Python Part 2/330 Exercise Find Duplicates.mp420.25MB

18 Learn Python Part 2/331 Functions.mp448.6MB

18 Learn Python Part 2/332 Parameters and Arguments.mp423.14MB

18 Learn Python Part 2/333 Default Parameters and Keyword Arguments.mp438.14MB

18 Learn Python Part 2/334 return.mp463.04MB

18 Learn Python Part 2/336 Methods vs Functions.mp430.69MB

18 Learn Python Part 2/337 Docstrings.mp417.33MB

18 Learn Python Part 2/338 Clean Code.mp419.66MB

18 Learn Python Part 2/339 args and kwargs.mp443.02MB

18 Learn Python Part 2/340 Exercise Functions.mp421.85MB

18 Learn Python Part 2/341 Scope.mp420.14MB

18 Learn Python Part 2/342 Scope Rules.mp437.68MB

18 Learn Python Part 2/343 global Keyword.mp436.5MB

18 Learn Python Part 2/344 nonlocal Keyword.mp418.25MB

18 Learn Python Part 2/345 Why Do We Need Scope.mp419.17MB

18 Learn Python Part 2/346 Pure Functions.mp467.36MB

18 Learn Python Part 2/347 map().mp438.38MB

18 Learn Python Part 2/348 filter().mp423.55MB

18 Learn Python Part 2/349 zip().mp421.27MB

18 Learn Python Part 2/350 reduce().mp452.27MB

18 Learn Python Part 2/351 List Comprehensions.mp453.34MB

18 Learn Python Part 2/352 Set Comprehensions.mp435.37MB

18 Learn Python Part 2/353 Exercise Comprehensions.mp421.96MB

18 Learn Python Part 2/355 Modules in Python.mp482.18MB

18 Learn Python Part 2/357 Optional PyCharm.mp453.06MB

18 Learn Python Part 2/358 Packages in Python.mp472.42MB

18 Learn Python Part 2/359 Different Ways To Import.mp447.96MB

02 Machine Learning 101/005 What Is Machine Learning.mp428.33MB

02 Machine Learning 101/006 AIMachine LearningData Science.mp419.67MB

02 Machine Learning 101/007 Exercise Machine Learning Playground.mp442.59MB

02 Machine Learning 101/008 How Did We Get Here.mp430.5MB

02 Machine Learning 101/009 Exercise YouTube Recommendation Engine.mp419.43MB

02 Machine Learning 101/010 Types of Machine Learning.mp422.75MB

02 Machine Learning 101/012 What Is Machine Learning Round 2.mp425.51MB

02 Machine Learning 101/013 Section Review.mp45.56MB

11 Milestone Project 1 Supervised Learning (Classification)/143 Section Overview.mp410.19MB

11 Milestone Project 1 Supervised Learning (Classification)/144 Project Overview.mp434.44MB

11 Milestone Project 1 Supervised Learning (Classification)/145 Project Environment Setup.mp4100.76MB

11 Milestone Project 1 Supervised Learning (Classification)/146 Step 1~4 Framework Setup.mp4105.5MB

11 Milestone Project 1 Supervised Learning (Classification)/147 Getting Our Tools Ready.mp479.36MB

11 Milestone Project 1 Supervised Learning (Classification)/148 Exploring Our Data.mp466.88MB

11 Milestone Project 1 Supervised Learning (Classification)/149 Finding Patterns.mp463.34MB

11 Milestone Project 1 Supervised Learning (Classification)/150 Finding Patterns 2.mp499.92MB

11 Milestone Project 1 Supervised Learning (Classification)/151 Finding Patterns 3.mp4137.86MB

11 Milestone Project 1 Supervised Learning (Classification)/152 Preparing Our Data For Machine Learning.mp472.6MB

11 Milestone Project 1 Supervised Learning (Classification)/153 Choosing The Right Models.mp496.42MB

11 Milestone Project 1 Supervised Learning (Classification)/154 Experimenting With Machine Learning Models.mp455.35MB

11 Milestone Project 1 Supervised Learning (Classification)/155 TuningImproving Our Model.mp4102.78MB

11 Milestone Project 1 Supervised Learning (Classification)/156 Tuning Hyperparameters.mp4108MB

11 Milestone Project 1 Supervised Learning (Classification)/157 Tuning Hyperparameters 2.mp4104.12MB

11 Milestone Project 1 Supervised Learning (Classification)/158 Tuning Hyperparameters 3.mp463.01MB

11 Milestone Project 1 Supervised Learning (Classification)/159 Evaluating Our Model.mp471.6MB

11 Milestone Project 1 Supervised Learning (Classification)/160 Evaluating Our Model 2.mp441.53MB

11 Milestone Project 1 Supervised Learning (Classification)/161 Evaluating Our Model 3.mp464.84MB

11 Milestone Project 1 Supervised Learning (Classification)/162 Finding The Most Important Features.mp4127.49MB

11 Milestone Project 1 Supervised Learning (Classification)/163 Reviewing The Project.mp486.14MB

09 Scikit-learn Creating Machine Learning Models/095 Section Overview.mp412.46MB

09 Scikit-learn Creating Machine Learning Models/096 Scikit-learn Introduction.mp440.63MB

09 Scikit-learn Creating Machine Learning Models/098 Refresher What Is Machine Learning.mp488.27MB

09 Scikit-learn Creating Machine Learning Models/100 Scikit-learn Cheatsheet.mp475.13MB

09 Scikit-learn Creating Machine Learning Models/101 Typical scikit-learn Workflow.mp4190.18MB

09 Scikit-learn Creating Machine Learning Models/102 Optional Debugging Warnings In Jupyter.mp4176.13MB

09 Scikit-learn Creating Machine Learning Models/103 Getting Your Data Ready Splitting Your Data.mp463.66MB

09 Scikit-learn Creating Machine Learning Models/104 Quick Tip Clean Transform Reduce.mp416.53MB

09 Scikit-learn Creating Machine Learning Models/105 Getting Your Data Ready Convert Data To Numbers.mp4135.02MB

09 Scikit-learn Creating Machine Learning Models/106 Getting Your Data Ready Handling Missing Values With Pandas.mp4104.84MB

09 Scikit-learn Creating Machine Learning Models/108 Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4136.89MB

09 Scikit-learn Creating Machine Learning Models/109 Choosing The Right Model For Your Data.mp4143.26MB

09 Scikit-learn Creating Machine Learning Models/110 Choosing The Right Model For Your Data 2 (Regression).mp486.92MB

09 Scikit-learn Creating Machine Learning Models/112 Quick Tip How ML Algorithms Work.mp411.06MB

09 Scikit-learn Creating Machine Learning Models/113 Choosing The Right Model For Your Data 3 (Classification).mp4118.84MB

09 Scikit-learn Creating Machine Learning Models/114 Fitting A Model To The Data.mp456.56MB

09 Scikit-learn Creating Machine Learning Models/115 Making Predictions With Our Model.mp466.5MB

09 Scikit-learn Creating Machine Learning Models/116 predict() vs predict_proba().mp454.33MB

09 Scikit-learn Creating Machine Learning Models/117 Making Predictions With Our Model (Regression).mp444.91MB

09 Scikit-learn Creating Machine Learning Models/118 Evaluating A Machine Learning Model (Score).mp487.13MB

09 Scikit-learn Creating Machine Learning Models/119 Evaluating A Machine Learning Model 2 (Cross Validation).mp495.97MB

09 Scikit-learn Creating Machine Learning Models/120 Evaluating A Classification Model 1 (Accuracy).mp431.41MB

09 Scikit-learn Creating Machine Learning Models/121 Evaluating A Classification Model 2 (ROC Curve).mp466.03MB

09 Scikit-learn Creating Machine Learning Models/122 Evaluating A Classification Model 3 (ROC Curve).mp450.61MB

09 Scikit-learn Creating Machine Learning Models/123 Evaluating A Classification Model 4 (Confusion Matrix).mp477.72MB

09 Scikit-learn Creating Machine Learning Models/124 Evaluating A Classification Model 5 (Confusion Matrix).mp463.59MB

09 Scikit-learn Creating Machine Learning Models/125 Evaluating A Classification Model 6 (Classification Report).mp487.24MB

09 Scikit-learn Creating Machine Learning Models/126 Evaluating A Regression Model 1 (R2 Score).mp470.39MB

09 Scikit-learn Creating Machine Learning Models/127 Evaluating A Regression Model 2 (MAE).mp428.52MB

09 Scikit-learn Creating Machine Learning Models/128 Evaluating A Regression Model 3 (MSE).mp454.9MB

09 Scikit-learn Creating Machine Learning Models/130 Evaluating A Model With Cross Validation and Scoring Parameter.mp491.49MB

09 Scikit-learn Creating Machine Learning Models/131 Evaluating A Model With Scikit-learn Functions.mp494.82MB

09 Scikit-learn Creating Machine Learning Models/132 Improving A Machine Learning Model.mp490.93MB

09 Scikit-learn Creating Machine Learning Models/133 Tuning Hyperparameters.mp4175.56MB

09 Scikit-learn Creating Machine Learning Models/134 Tuning Hyperparameters 2.mp4116.77MB

09 Scikit-learn Creating Machine Learning Models/135 Tuning Hyperparameters 3.mp4121.76MB

09 Scikit-learn Creating Machine Learning Models/136 Quick Tip Correlation Analysis.mp416.92MB

09 Scikit-learn Creating Machine Learning Models/137 Saving And Loading A Model.mp452.6MB

09 Scikit-learn Creating Machine Learning Models/138 Saving And Loading A Model 2.mp456.77MB

09 Scikit-learn Creating Machine Learning Models/139 Putting It All Together.mp4158.35MB

09 Scikit-learn Creating Machine Learning Models/140 Putting It All Together 2.mp4116.85MB

16 Career Advice Extra Bits/251 What If I Dont Have Enough Experience.mp4160.94MB

16 Career Advice Extra Bits/254 JTS Learn to Learn.mp411.14MB

16 Career Advice Extra Bits/255 JTS Start With Why.mp415.43MB

16 Career Advice Extra Bits/257 CWD Git Github.mp4176.11MB

16 Career Advice Extra Bits/258 CWD Git Github 2.mp4118.35MB

16 Career Advice Extra Bits/259 Contributing To Open Source.mp4130.25MB

16 Career Advice Extra Bits/260 Contributing To Open Source 2.mp4113.04MB

07 NumPy/057 Section Overview.mp413.32MB

07 NumPy/058 NumPy Introduction.mp426.84MB

07 NumPy/060 NumPy DataTypes and Attributes.mp478.99MB

07 NumPy/061 Creating NumPy Arrays.mp466.77MB

07 NumPy/062 NumPy Random Seed.mp451.92MB

07 NumPy/063 Viewing Arrays and Matrices.mp470.64MB

07 NumPy/064 Manipulating Arrays.mp480.65MB

07 NumPy/065 Manipulating Arrays 2.mp467.9MB

07 NumPy/066 Standard Deviation and Variance.mp451.16MB

07 NumPy/067 Reshape and Transpose.mp453.53MB

07 NumPy/068 Dot Product vs Element Wise.mp483.93MB

07 NumPy/069 Exercise Nut Butter Store Sales.mp491.32MB

07 NumPy/070 Comparison Operators.mp426.37MB

07 NumPy/071 Sorting Arrays.mp432.83MB

07 NumPy/072 Turn Images Into NumPy Arrays.mp485.91MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/197 Section Overview.mp412.2MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/198 Deep Learning and Unstructured Data.mp4102.04MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/200 Setting Up Google Colab.mp474.24MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/201 Google Colab Workspace.mp439.63MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/202 Uploading Project Data.mp451.98MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/203 Setting Up Our Data.mp442.26MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/204 Setting Up Our Data 2.mp420.87MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/205 Importing TensorFlow 2.mp4116.76MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/206 Optional TensorFlow 2.0 Default Issue.mp428.1MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/207 Using A GPU.mp480.59MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/208 Optional GPU and Google Colab.mp445.88MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/209 Optional Reloading Colab Notebook.mp488.66MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/210 Loading Our Data Labels.mp4114.82MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/211 Preparing The Images.mp4133.89MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/212 Turning Data Labels Into Numbers.mp4107.46MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/213 Creating Our Own Validation Set.mp466.44MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/214 Preprocess Images.mp490.1MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/215 Preprocess Images 2.mp4105.07MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/216 Turning Data Into Batches.mp487.77MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/217 Turning Data Into Batches 2.mp4149.38MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/218 Visualizing Our Data.mp4121.99MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/219 Preparing Our Inputs and Outputs.mp450.07MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/221 Building A Deep Learning Model.mp4121.85MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/222 Building A Deep Learning Model 2.mp4105.9MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/223 Building A Deep Learning Model 3.mp4105.92MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/224 Building A Deep Learning Model 4.mp486.3MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/225 Summarizing Our Model.mp445.44MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/226 Evaluating Our Model.mp479.29MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/227 Preventing Overfitting.mp436.51MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/228 Training Your Deep Neural Network.mp4166.6MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/229 Evaluating Performance With TensorBoard.mp474.18MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/230 Make And Transform Predictions.mp4154.98MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/231 Transform Predictions To Text.mp4129.87MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/232 Visualizing Model Predictions.mp4119.31MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/233 Visualizing And Evaluate Model Predictions 2.mp4143.78MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/234 Visualizing And Evaluate Model Predictions 3.mp4113.21MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/235 Saving And Loading A Trained Model.mp4126.98MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/236 Training Model On Full Dataset.mp4139.82MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/237 Making Predictions On Test Images.mp4140.83MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/238 Submitting Model to Kaggle.mp4121.34MB

14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/239 Making Predictions On Our Images.mp4119.24MB

08 Matplotlib Plotting and Data Visualization/075 Section Overview.mp48.6MB

08 Matplotlib Plotting and Data Visualization/076 Matplotlib Introduction.mp431.51MB

08 Matplotlib Plotting and Data Visualization/077 Importing And Using Matplotlib.mp486.45MB

08 Matplotlib Plotting and Data Visualization/078 Anatomy Of A Matplotlib Figure.mp482.15MB

08 Matplotlib Plotting and Data Visualization/079 Scatter Plot And Bar Plot.mp467.03MB

08 Matplotlib Plotting and Data Visualization/080 Histograms And Subplots.mp469.75MB

08 Matplotlib Plotting and Data Visualization/081 Subplots Option 2.mp438.09MB

08 Matplotlib Plotting and Data Visualization/082 Quick Tip Data Visualizations.mp412.25MB

08 Matplotlib Plotting and Data Visualization/083 Plotting From Pandas DataFrames.mp460.35MB

08 Matplotlib Plotting and Data Visualization/085 Plotting From Pandas DataFrames 2.mp498.8MB

08 Matplotlib Plotting and Data Visualization/086 Plotting from Pandas DataFrames 3.mp474.71MB

08 Matplotlib Plotting and Data Visualization/087 Plotting from Pandas DataFrames 4.mp449MB

08 Matplotlib Plotting and Data Visualization/088 Plotting from Pandas DataFrames 5.mp456.96MB

08 Matplotlib Plotting and Data Visualization/089 Plotting from Pandas DataFrames 6.mp482.04MB

08 Matplotlib Plotting and Data Visualization/090 Plotting from Pandas DataFrames 7.mp4119.75MB

08 Matplotlib Plotting and Data Visualization/091 Customizing Your Plots.mp492.21MB

08 Matplotlib Plotting and Data Visualization/092 Customizing Your Plots 2.mp4123.6MB

08 Matplotlib Plotting and Data Visualization/093 Saving And Sharing Your Plots.mp449.52MB

01 Introduction/001 Course Outline.mp477.26MB

01 Introduction/004 Your First Day.mp427.92MB

17 Learn Python/263 What Is A Programming Language.mp4104.77MB

17 Learn Python/264 Python Interpreter.mp493.47MB

17 Learn Python/265 How To Run Python Code.mp463.9MB

17 Learn Python/266 Our First Python Program.mp447.2MB

17 Learn Python/267 Python 2 vs Python 3.mp482.14MB

17 Learn Python/268 Exercise How Does Python Work.mp425.96MB

17 Learn Python/269 Learning Python.mp438.52MB

17 Learn Python/270 Python Data Types.mp428.85MB

17 Learn Python/272 Numbers.mp472.71MB

17 Learn Python/273 Math Functions.mp441.82MB

17 Learn Python/274 DEVELOPER FUNDAMENTALS I.mp459.71MB

17 Learn Python/275 Operator Precedence.mp414.42MB

17 Learn Python/277 Optional bin() and complex.mp421.9MB

17 Learn Python/278 Variables.mp493.56MB

17 Learn Python/279 Expressions vs Statements.mp410.97MB

17 Learn Python/280 Augmented Assignment Operator.mp415.32MB

17 Learn Python/281 Strings.mp430.98MB

17 Learn Python/282 String Concatenation.mp47.34MB

17 Learn Python/283 Type Conversion.mp418.99MB

17 Learn Python/284 Escape Sequences.mp423.15MB

17 Learn Python/285 Formatted Strings.mp449.25MB

17 Learn Python/286 String Indexes.mp449.15MB

17 Learn Python/287 Immutability.mp420.8MB

17 Learn Python/288 Built-In Functions Methods.mp469.39MB

17 Learn Python/289 Booleans.mp416.55MB

17 Learn Python/290 Exercise Type Conversion.mp450.34MB

17 Learn Python/291 DEVELOPER FUNDAMENTALS II.mp429.25MB

17 Learn Python/292 Exercise Password Checker.mp451.09MB

17 Learn Python/293 Lists.mp421.96MB

17 Learn Python/294 List Slicing.mp449.86MB

17 Learn Python/295 Matrix.mp419.15MB

17 Learn Python/296 List Methods.mp461.75MB

17 Learn Python/297 List Methods 2.mp427.4MB

17 Learn Python/298 List Methods 3.mp427.66MB

17 Learn Python/299 Common List Patterns.mp440.46MB

17 Learn Python/300 List Unpacking.mp413.86MB

17 Learn Python/301 None.mp47.93MB

17 Learn Python/302 Dictionaries.mp432.7MB

17 Learn Python/303 DEVELOPER FUNDAMENTALS III.mp426.63MB

17 Learn Python/304 Dictionary Keys.mp420.37MB

17 Learn Python/305 Dictionary Methods.mp427.16MB

17 Learn Python/306 Dictionary Methods 2.mp442.39MB

17 Learn Python/307 Tuples.mp425.65MB

17 Learn Python/308 Tuples 2.mp416.99MB

17 Learn Python/309 Sets.mp436.98MB

17 Learn Python/310 Sets 2.mp464.26MB

20 Where To Go From Here/363 Thank You.mp411.11MB

04 The 2 Paths/029 The 2 Paths.mp49.75MB

13 Data Engineering/184 Data Engineering Introduction.mp413.5MB

13 Data Engineering/185 What Is Data.mp442.22MB

13 Data Engineering/186 What Is A Data Engineer.mp415.16MB

13 Data Engineering/187 What Is A Data Engineer 2.mp424.23MB

13 Data Engineering/188 What Is A Data Engineer 3.mp424.29MB

13 Data Engineering/189 What Is A Data Engineer 4.mp414.93MB

13 Data Engineering/190 Types Of Databases.mp432.55MB

13 Data Engineering/192 Optional OLTP Databases.mp479.68MB

13 Data Engineering/194 Hadoop HDFS and MapReduce.mp410.1MB

13 Data Engineering/195 Apache Spark and Apache Flink.mp45.76MB

13 Data Engineering/196 Kafka and Stream Processing.mp419.24MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/164 Section Overview.mp48.95MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/165 Project Overview.mp432.94MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/166 Project Environment Setup.mp4101.27MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/167 Step 1~4 Framework Setup.mp485.69MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/168 Exploring Our Data.mp4137.81MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/169 Exploring Our Data 2.mp452.04MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/170 Feature Engineering.mp4159.14MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/171 Turning Data Into Numbers.mp4146.17MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/172 Filling Missing Numerical Values.mp4106.34MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/173 Filling Missing Categorical Values.mp466.91MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/174 Fitting A Machine Learning Model.mp455.52MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/175 Splitting Data.mp482.68MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/177 Custom Evaluation Function.mp4103.34MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/178 Reducing Data.mp493.47MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/179 RandomizedSearchCV.mp485.83MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/180 Improving Hyperparameters.mp479.29MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/181 Preproccessing Our Data.mp4139.3MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/182 Making Predictions.mp479.21MB

12 Milestone Project 2 Supervised Learning (Time Series Data)/183 Feature Importance.mp4142.3MB