种子简介

种子名称： [06-2020] complete-machine-learning-and-data-science-zero-to-mastery
文件类型： 视频
文件数目： 318个文件
文件大小： 28.54 GB
收录时间： 2021-3-7 16:25
已经下载： 3次
资源热度： 262
最近下载： 2024-6-1 11:30

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:c10af4b80defa1a86e9910a1de05b41ab123e086&dn=[06-2020] complete-machine-learning-and-data-science-zero-to-mastery 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

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

16 Career Advice + Extra Bits/261 CWD_ Git + Github.mp4363.28MB

01 Introduction/001 Course Outline.mp4144.64MB

01 Introduction/004 Your First Day.mp443.05MB

02 Machine Learning 101/005 What Is Machine Learning_.mp429.96MB

02 Machine Learning 101/006 AI_Machine Learning_Data Science.mp422.75MB

02 Machine Learning 101/007 Exercise_ Machine Learning Playground.mp465.73MB

02 Machine Learning 101/008 How Did We Get Here_.mp439.17MB

02 Machine Learning 101/009 Exercise_ YouTube Recommendation Engine.mp413.12MB

02 Machine Learning 101/010 Types of Machine Learning.mp415.04MB

02 Machine Learning 101/012 What Is Machine Learning_ Round 2.mp419.15MB

02 Machine Learning 101/013 Section Review.mp44.06MB

03 Machine Learning and Data Science Framework/014 Section Overview.mp49.63MB

03 Machine Learning and Data Science Framework/015 Introducing Our Framework.mp46.36MB

03 Machine Learning and Data Science Framework/016 6 Step Machine Learning Framework.mp415.22MB

03 Machine Learning and Data Science Framework/017 Types of Machine Learning Problems.mp433.12MB

03 Machine Learning and Data Science Framework/018 Types of Data.mp433.5MB

03 Machine Learning and Data Science Framework/019 Types of Evaluation.mp49.79MB

03 Machine Learning and Data Science Framework/020 Features In Data.mp424.47MB

03 Machine Learning and Data Science Framework/021 Modelling - Splitting Data.mp416.75MB

03 Machine Learning and Data Science Framework/022 Modelling - Picking the Model.mp413.1MB

03 Machine Learning and Data Science Framework/023 Modelling - Tuning.mp49.28MB

03 Machine Learning and Data Science Framework/024 Modelling - Comparison.mp427.28MB

03 Machine Learning and Data Science Framework/026 Experimentation.mp418.89MB

03 Machine Learning and Data Science Framework/027 Tools We Will Use.mp420.53MB

04 The 2 Paths/029 The 2 Paths.mp46.99MB

05 Data Science Environment Setup/031 Section Overview.mp43.93MB

05 Data Science Environment Setup/032 Introducing Our Tools.mp416.38MB

05 Data Science Environment Setup/033 What is Conda_.mp47.38MB

05 Data Science Environment Setup/034 Conda Environments.mp424.72MB

05 Data Science Environment Setup/035 Mac Environment Setup.mp4262.6MB

05 Data Science Environment Setup/036 Mac Environment Setup 2.mp4223.67MB

05 Data Science Environment Setup/037 Windows Environment Setup.mp459.4MB

05 Data Science Environment Setup/038 Windows Environment Setup 2.mp4349.11MB

05 Data Science Environment Setup/041 Jupyter Notebook Walkthrough.mp4102.55MB

05 Data Science Environment Setup/042 Jupyter Notebook Walkthrough 2.mp4152.98MB

05 Data Science Environment Setup/043 Jupyter Notebook Walkthrough 3.mp4127.78MB

06 Pandas_ Data Analysis/044 Section Overview.mp47.83MB

06 Pandas_ Data Analysis/046 Pandas Introduction.mp417.93MB

06 Pandas_ Data Analysis/047 Series, Data Frames and CSVs.mp4166.07MB

06 Pandas_ Data Analysis/049 Describing Data with Pandas.mp4112.57MB

06 Pandas_ Data Analysis/050 Selecting and Viewing Data with Pandas.mp4106.88MB

06 Pandas_ Data Analysis/051 Selecting and Viewing Data with Pandas Part 2.mp4187.25MB

06 Pandas_ Data Analysis/052 Manipulating Data.mp4181.28MB

06 Pandas_ Data Analysis/053 Manipulating Data 2.mp4156.04MB

06 Pandas_ Data Analysis/054 Manipulating Data 3.mp4137.81MB

06 Pandas_ Data Analysis/056 How To Download The Course Assignments.mp445.44MB

07 NumPy/057 Section Overview.mp422.55MB

07 NumPy/058 NumPy Introduction.mp421.62MB

07 NumPy/060 NumPy DataTypes and Attributes.mp494.05MB

07 NumPy/061 Creating NumPy Arrays.mp477.89MB

07 NumPy/062 NumPy Random Seed.mp461.99MB

07 NumPy/063 Viewing Arrays and Matrices.mp4104.01MB

07 NumPy/064 Manipulating Arrays.mp4119.44MB

07 NumPy/065 Manipulating Arrays 2.mp4101.87MB

07 NumPy/066 Standard Deviation and Variance.mp461.83MB

07 NumPy/067 Reshape and Transpose.mp491.58MB

07 NumPy/068 Dot Product vs Element Wise.mp4122.83MB

07 NumPy/069 Exercise_ Nut Butter Store Sales.mp4135.03MB

07 NumPy/070 Comparison Operators.mp438.52MB

07 NumPy/071 Sorting Arrays.mp439.31MB

07 NumPy/072 Turn Images Into NumPy Arrays.mp4165.01MB

08 Matplotlib_ Plotting and Data Visualization/075 Section Overview.mp46.09MB

08 Matplotlib_ Plotting and Data Visualization/076 Matplotlib Introduction.mp435.02MB

08 Matplotlib_ Plotting and Data Visualization/077 Importing And Using Matplotlib.mp4147.2MB

08 Matplotlib_ Plotting and Data Visualization/078 Anatomy Of A Matplotlib Figure.mp491.76MB

08 Matplotlib_ Plotting and Data Visualization/079 Scatter Plot And Bar Plot.mp475.53MB

08 Matplotlib_ Plotting and Data Visualization/080 Histograms And Subplots.mp498.43MB

08 Matplotlib_ Plotting and Data Visualization/081 Subplots Option 2.mp454.63MB

08 Matplotlib_ Plotting and Data Visualization/082 Quick Tip_ Data Visualizations.mp46.8MB

08 Matplotlib_ Plotting and Data Visualization/083 Plotting From Pandas DataFrames.mp490.1MB

08 Matplotlib_ Plotting and Data Visualization/085 Plotting From Pandas DataFrames 2.mp4177.54MB

08 Matplotlib_ Plotting and Data Visualization/086 Plotting from Pandas DataFrames 3.mp4127.49MB

08 Matplotlib_ Plotting and Data Visualization/087 Plotting from Pandas DataFrames 4.mp453.53MB

08 Matplotlib_ Plotting and Data Visualization/088 Plotting from Pandas DataFrames 5.mp493.42MB

08 Matplotlib_ Plotting and Data Visualization/089 Plotting from Pandas DataFrames 6.mp4121.51MB

08 Matplotlib_ Plotting and Data Visualization/090 Plotting from Pandas DataFrames 7.mp4220.71MB

08 Matplotlib_ Plotting and Data Visualization/091 Customizing Your Plots.mp4133.27MB

08 Matplotlib_ Plotting and Data Visualization/092 Customizing Your Plots 2.mp4235.99MB

08 Matplotlib_ Plotting and Data Visualization/093 Saving And Sharing Your Plots.mp492.85MB

09 Scikit-learn_ Creating Machine Learning Models/095 Section Overview.mp48.73MB

09 Scikit-learn_ Creating Machine Learning Models/096 Scikit-learn Introduction.mp426.89MB

09 Scikit-learn_ Creating Machine Learning Models/098 Refresher_ What Is Machine Learning_.mp433.65MB

09 Scikit-learn_ Creating Machine Learning Models/100 Scikit-learn Cheatsheet.mp4139.93MB

09 Scikit-learn_ Creating Machine Learning Models/101 Typical scikit-learn Workflow.mp4337.47MB

09 Scikit-learn_ Creating Machine Learning Models/102 Optional_ Debugging Warnings In Jupyter.mp4323.08MB

09 Scikit-learn_ Creating Machine Learning Models/103 Getting Your Data Ready_ Splitting Your Data.mp4109.4MB

09 Scikit-learn_ Creating Machine Learning Models/104 Quick Tip_ Clean, Transform, Reduce.mp415.45MB

09 Scikit-learn_ Creating Machine Learning Models/105 Getting Your Data Ready_ Convert Data To Numbers.mp4238.13MB

09 Scikit-learn_ Creating Machine Learning Models/106 Getting Your Data Ready_ Handling Missing Values With Pandas.mp4187.61MB

09 Scikit-learn_ Creating Machine Learning Models/109 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4242.58MB

09 Scikit-learn_ Creating Machine Learning Models/110 Choosing The Right Model For Your Data.mp4262.61MB

09 Scikit-learn_ Creating Machine Learning Models/111 Choosing The Right Model For Your Data 2 (Regression).mp4161.05MB

09 Scikit-learn_ Creating Machine Learning Models/113 Quick Tip_ How ML Algorithms Work.mp47.28MB

09 Scikit-learn_ Creating Machine Learning Models/114 Choosing The Right Model For Your Data 3 (Classification).mp4217.07MB

09 Scikit-learn_ Creating Machine Learning Models/115 Fitting A Model To The Data.mp467.57MB

09 Scikit-learn_ Creating Machine Learning Models/116 Making Predictions With Our Model.mp4118.58MB

09 Scikit-learn_ Creating Machine Learning Models/117 predict() vs predict_proba().mp467.01MB

09 Scikit-learn_ Creating Machine Learning Models/118 Making Predictions With Our Model (Regression).mp476.48MB

09 Scikit-learn_ Creating Machine Learning Models/119 Evaluating A Machine Learning Model (Score).mp4160.14MB

09 Scikit-learn_ Creating Machine Learning Models/120 Evaluating A Machine Learning Model 2 (Cross Validation).mp4166.17MB

09 Scikit-learn_ Creating Machine Learning Models/121 Evaluating A Classification Model 1 (Accuracy).mp452.94MB

09 Scikit-learn_ Creating Machine Learning Models/122 Evaluating A Classification Model 2 (ROC Curve).mp499.08MB

09 Scikit-learn_ Creating Machine Learning Models/123 Evaluating A Classification Model 3 (ROC Curve).mp485.74MB

09 Scikit-learn_ Creating Machine Learning Models/125 Evaluating A Classification Model 4 (Confusion Matrix).mp4136.82MB

09 Scikit-learn_ Creating Machine Learning Models/126 Evaluating A Classification Model 5 (Confusion Matrix).mp496.09MB

09 Scikit-learn_ Creating Machine Learning Models/127 Evaluating A Classification Model 6 (Classification Report).mp4152.06MB

09 Scikit-learn_ Creating Machine Learning Models/128 Evaluating A Regression Model 1 (R2 Score).mp4123.65MB

09 Scikit-learn_ Creating Machine Learning Models/129 Evaluating A Regression Model 2 (MAE).mp450.04MB

09 Scikit-learn_ Creating Machine Learning Models/130 Evaluating A Regression Model 3 (MSE).mp479.39MB

09 Scikit-learn_ Creating Machine Learning Models/132 Evaluating A Model With Cross Validation and Scoring Parameter.mp4157.8MB

09 Scikit-learn_ Creating Machine Learning Models/133 Evaluating A Model With Scikit-learn Functions.mp4169.44MB

09 Scikit-learn_ Creating Machine Learning Models/134 Improving A Machine Learning Model.mp4161.77MB

09 Scikit-learn_ Creating Machine Learning Models/135 Tuning Hyperparameters.mp4311.45MB

09 Scikit-learn_ Creating Machine Learning Models/136 Tuning Hyperparameters 2.mp4203.74MB

09 Scikit-learn_ Creating Machine Learning Models/137 Tuning Hyperparameters 3.mp4212.64MB

09 Scikit-learn_ Creating Machine Learning Models/139 Quick Tip_ Correlation Analysis.mp431.12MB

09 Scikit-learn_ Creating Machine Learning Models/140 Saving And Loading A Model.mp478.7MB

09 Scikit-learn_ Creating Machine Learning Models/141 Saving And Loading A Model 2.mp486.3MB

09 Scikit-learn_ Creating Machine Learning Models/142 Putting It All Together.mp4284.69MB

09 Scikit-learn_ Creating Machine Learning Models/143 Putting It All Together 2.mp4212.77MB

11 Milestone Project 1_ Supervised Learning (Classification)/146 Section Overview.mp47.08MB

11 Milestone Project 1_ Supervised Learning (Classification)/147 Project Overview.mp422.22MB

11 Milestone Project 1_ Supervised Learning (Classification)/148 Project Environment Setup.mp4174.43MB

11 Milestone Project 1_ Supervised Learning (Classification)/149 Step 1~4 Framework Setup.mp4191.55MB

11 Milestone Project 1_ Supervised Learning (Classification)/150 Getting Our Tools Ready.mp4142.95MB

11 Milestone Project 1_ Supervised Learning (Classification)/151 Exploring Our Data.mp4119.48MB

11 Milestone Project 1_ Supervised Learning (Classification)/152 Finding Patterns.mp4107.16MB

11 Milestone Project 1_ Supervised Learning (Classification)/153 Finding Patterns 2.mp4166.88MB

11 Milestone Project 1_ Supervised Learning (Classification)/154 Finding Patterns 3.mp4250.11MB

11 Milestone Project 1_ Supervised Learning (Classification)/155 Preparing Our Data For Machine Learning.mp4129.22MB

11 Milestone Project 1_ Supervised Learning (Classification)/156 Choosing The Right Models.mp4175.69MB

11 Milestone Project 1_ Supervised Learning (Classification)/157 Experimenting With Machine Learning Models.mp4100.65MB

11 Milestone Project 1_ Supervised Learning (Classification)/158 Tuning_Improving Our Model.mp4153.15MB

11 Milestone Project 1_ Supervised Learning (Classification)/159 Tuning Hyperparameters.mp4194.48MB

11 Milestone Project 1_ Supervised Learning (Classification)/160 Tuning Hyperparameters 2.mp4188.71MB

11 Milestone Project 1_ Supervised Learning (Classification)/161 Tuning Hyperparameters 3.mp4113.64MB

11 Milestone Project 1_ Supervised Learning (Classification)/162 Evaluating Our Model.mp4123.36MB

11 Milestone Project 1_ Supervised Learning (Classification)/163 Evaluating Our Model 2.mp447.19MB

11 Milestone Project 1_ Supervised Learning (Classification)/164 Evaluating Our Model 3.mp4112.62MB

11 Milestone Project 1_ Supervised Learning (Classification)/165 Finding The Most Important Features.mp4223.72MB

11 Milestone Project 1_ Supervised Learning (Classification)/166 Reviewing The Project.mp4157.52MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/167 Section Overview.mp415.82MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/168 Project Overview.mp426.4MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/169 Project Environment Setup.mp4179.59MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/170 Step 1~4 Framework Setup.mp4155.67MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/172 Exploring Our Data.mp4252.86MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/173 Exploring Our Data 2.mp491.44MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/174 Feature Engineering.mp4181.51MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/175 Turning Data Into Numbers.mp4267.05MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/176 Filling Missing Numerical Values.mp4191.18MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/177 Filling Missing Categorical Values.mp499.94MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/178 Fitting A Machine Learning Model.mp496.56MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/179 Splitting Data.mp4146.61MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/181 Custom Evaluation Function.mp4185.02MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/182 Reducing Data.mp4169.63MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/183 RandomizedSearchCV.mp4130.05MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/184 Improving Hyperparameters.mp4145.08MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/185 Preproccessing Our Data.mp4259.74MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/186 Making Predictions.mp4142.98MB

12 Milestone Project 2_ Supervised Learning (Time Series Data)/187 Feature Importance.mp4255.03MB

13 Data Engineering/188 Data Engineering Introduction.mp49.74MB

13 Data Engineering/189 What Is Data_.mp452.67MB

13 Data Engineering/190 What Is A Data Engineer_.mp414.55MB

13 Data Engineering/191 What Is A Data Engineer 2_.mp418.84MB

13 Data Engineering/192 What Is A Data Engineer 3_.mp417.24MB

13 Data Engineering/193 What Is A Data Engineer 4_.mp411.46MB

13 Data Engineering/194 Types Of Databases.mp442.02MB

13 Data Engineering/196 Optional_ OLTP Databases.mp4124.97MB

13 Data Engineering/198 Hadoop, HDFS and MapReduce.mp47.13MB

13 Data Engineering/199 Apache Spark and Apache Flink.mp44.49MB

13 Data Engineering/200 Kafka and Stream Processing.mp417.02MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/201 Section Overview.mp410.63MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/202 Deep Learning and Unstructured Data.mp4120.64MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/204 Setting Up Google Colab.mp4136.89MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/205 Google Colab Workspace.mp458.82MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/206 Uploading Project Data.mp492.31MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/207 Setting Up Our Data.mp476.34MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/208 Setting Up Our Data 2.mp437.56MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/209 Importing TensorFlow 2.mp4211.23MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/210 Optional_ TensorFlow 2.0 Default Issue.mp423.51MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/211 Using A GPU.mp450.29MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/212 Optional_ GPU and Google Colab.mp469.65MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/213 Optional_ Reloading Colab Notebook.mp4167.55MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/214 Loading Our Data Labels.mp4206.77MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/215 Preparing The Images.mp4244.72MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/216 Turning Data Labels Into Numbers.mp4196.28MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/217 Creating Our Own Validation Set.mp495.39MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/218 Preprocess Images.mp4158.5MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/219 Preprocess Images 2.mp4191.03MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/220 Turning Data Into Batches.mp4132.33MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/221 Turning Data Into Batches 2.mp4227.04MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/222 Visualizing Our Data.mp4222.98MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/223 Preparing Our Inputs and Outputs.mp485.14MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/225 Building A Deep Learning Model.mp4224.85MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/226 Building A Deep Learning Model 2.mp4159.29MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/227 Building A Deep Learning Model 3.mp4197.98MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/228 Building A Deep Learning Model 4.mp4129.37MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/229 Summarizing Our Model.mp482.38MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/230 Evaluating Our Model.mp4116.74MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/231 Preventing Overfitting.mp454.96MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/232 Training Your Deep Neural Network.mp4298.59MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/233 Evaluating Performance With TensorBoard.mp4133.93MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/234 Make And Transform Predictions.mp4280.43MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/235 Transform Predictions To Text.mp4229.91MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/236 Visualizing Model Predictions.mp490.93MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/237 Visualizing And Evaluate Model Predictions 2.mp4255.21MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/238 Visualizing And Evaluate Model Predictions 3.mp4209.42MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/239 Saving And Loading A Trained Model.mp4227.76MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/240 Training Model On Full Dataset.mp4252.63MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/241 Making Predictions On Test Images.mp4209.84MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/242 Submitting Model to Kaggle.mp4177.5MB

14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/243 Making Predictions On Our Images.mp4210.76MB

15 Storytelling + Communication_ How To Present Your Work/245 Section Overview.mp47.67MB

15 Storytelling + Communication_ How To Present Your Work/246 Communicating Your Work.mp413.79MB

15 Storytelling + Communication_ How To Present Your Work/247 Communicating With Managers.mp411.08MB

15 Storytelling + Communication_ How To Present Your Work/248 Communicating With Co-Workers.mp411.58MB

15 Storytelling + Communication_ How To Present Your Work/249 Weekend Project Principle.mp415.11MB

15 Storytelling + Communication_ How To Present Your Work/250 Communicating With Outside World.mp49.31MB

15 Storytelling + Communication_ How To Present Your Work/251 Storytelling.mp47.01MB

16 Career Advice + Extra Bits/255 What If I Don't Have Enough Experience_.mp4312.95MB

16 Career Advice + Extra Bits/258 JTS_ Learn to Learn.mp410.52MB

16 Career Advice + Extra Bits/259 JTS_ Start With Why.mp414.4MB

16 Career Advice + Extra Bits/262 CWD_ Git + Github 2.mp4205.55MB

16 Career Advice + Extra Bits/263 Contributing To Open Source.mp4199.76MB

16 Career Advice + Extra Bits/264 Contributing To Open Source 2.mp4213.88MB

17 Learn Python/267 What Is A Programming Language.mp434.3MB

17 Learn Python/268 Python Interpreter.mp4139.4MB

17 Learn Python/269 How To Run Python Code.mp471.88MB

17 Learn Python/270 Our First Python Program.mp462.84MB

17 Learn Python/271 Python 2 vs Python 3.mp4118.19MB

17 Learn Python/272 Exercise_ How Does Python Work_.mp428.91MB

17 Learn Python/273 Learning Python.mp412.17MB

17 Learn Python/274 Python Data Types.mp419.4MB

17 Learn Python/276 Numbers.mp481.01MB

17 Learn Python/277 Math Functions.mp444.55MB

17 Learn Python/278 DEVELOPER FUNDAMENTALS_ I.mp4107.44MB

17 Learn Python/279 Operator Precedence.mp48.5MB

17 Learn Python/281 Optional_ bin() and complex.mp423.95MB

17 Learn Python/282 Variables.mp4100.54MB

17 Learn Python/283 Expressions vs Statements.mp44.89MB

17 Learn Python/284 Augmented Assignment Operator.mp48.6MB

17 Learn Python/285 Strings.mp417.31MB

17 Learn Python/286 String Concatenation.mp43.82MB

17 Learn Python/287 Type Conversion.mp425.21MB

17 Learn Python/288 Escape Sequences.mp413.18MB

17 Learn Python/289 Formatted Strings.mp427.31MB

17 Learn Python/290 String Indexes.mp426.1MB

17 Learn Python/291 Immutability.mp412.86MB

17 Learn Python/292 Built-In Functions + Methods.mp474.25MB

17 Learn Python/293 Booleans.mp411.32MB

17 Learn Python/294 Exercise_ Type Conversion.mp434.19MB

17 Learn Python/295 DEVELOPER FUNDAMENTALS_ II.mp432.64MB

17 Learn Python/296 Exercise_ Password Checker.mp439.2MB

17 Learn Python/297 Lists.mp413.22MB

17 Learn Python/298 List Slicing.mp427.22MB

17 Learn Python/299 Matrix.mp410.87MB

17 Learn Python/300 List Methods.mp465.94MB

17 Learn Python/301 List Methods 2.mp429.51MB

17 Learn Python/302 List Methods 3.mp429.85MB

17 Learn Python/303 Common List Patterns.mp426.67MB

17 Learn Python/304 List Unpacking.mp49.45MB

17 Learn Python/305 None.mp44.57MB

17 Learn Python/306 Dictionaries.mp419.08MB

17 Learn Python/307 DEVELOPER FUNDAMENTALS_ III.mp415.02MB

17 Learn Python/308 Dictionary Keys.mp412.12MB

17 Learn Python/309 Dictionary Methods.mp415.27MB

17 Learn Python/310 Dictionary Methods 2.mp446.9MB

17 Learn Python/311 Tuples.mp415.3MB

17 Learn Python/312 Tuples 2.mp49.61MB

17 Learn Python/313 Sets.mp439.55MB

17 Learn Python/314 Sets 2.mp492.37MB

18 Learn Python Part 2/315 Breaking The Flow.mp412.85MB

18 Learn Python Part 2/316 Conditional Logic.mp493.47MB

18 Learn Python Part 2/317 Indentation In Python.mp417.94MB

18 Learn Python Part 2/318 Truthy vs Falsey.mp463.71MB

18 Learn Python Part 2/319 Ternary Operator.mp412.73MB

18 Learn Python Part 2/320 Short Circuiting.mp412.44MB

18 Learn Python Part 2/321 Logical Operators.mp422.56MB

18 Learn Python Part 2/322 Exercise_ Logical Operators.mp437.46MB

18 Learn Python Part 2/323 is vs ==.mp427.55MB

18 Learn Python Part 2/324 For Loops.mp425.57MB

18 Learn Python Part 2/325 Iterables.mp438.17MB

18 Learn Python Part 2/326 Exercise_ Tricky Counter.mp410.21MB

18 Learn Python Part 2/327 range().mp434.69MB

18 Learn Python Part 2/328 enumerate().mp414.38MB

18 Learn Python Part 2/329 While Loops.mp421.38MB

18 Learn Python Part 2/330 While Loops 2.mp417.05MB

18 Learn Python Part 2/331 break, continue, pass.mp414.32MB

18 Learn Python Part 2/332 Our First GUI.mp479.86MB

18 Learn Python Part 2/333 DEVELOPER FUNDAMENTALS_ IV.mp441.84MB

18 Learn Python Part 2/334 Exercise_ Find Duplicates.mp412.97MB

18 Learn Python Part 2/335 Functions.mp434.49MB

18 Learn Python Part 2/336 Parameters and Arguments.mp417.68MB

18 Learn Python Part 2/337 Default Parameters and Keyword Arguments.mp423.48MB

18 Learn Python Part 2/338 return.mp457.64MB

18 Learn Python Part 2/340 Methods vs Functions.mp446.29MB

18 Learn Python Part 2/341 Docstrings.mp415.96MB

18 Learn Python Part 2/342 Clean Code.mp430.13MB

18 Learn Python Part 2/343 _args and __kwargs.mp454.12MB

18 Learn Python Part 2/344 Exercise_ Functions.mp413.5MB

18 Learn Python Part 2/345 Scope.mp412.6MB

18 Learn Python Part 2/346 Scope Rules.mp429.73MB

18 Learn Python Part 2/347 global Keyword.mp433.82MB

18 Learn Python Part 2/348 nonlocal Keyword.mp414.8MB

18 Learn Python Part 2/349 Why Do We Need Scope_.mp413.32MB

18 Learn Python Part 2/350 Pure Functions.mp450.61MB

18 Learn Python Part 2/351 map().mp434.62MB

18 Learn Python Part 2/352 filter().mp415.2MB

18 Learn Python Part 2/353 zip().mp416.21MB

18 Learn Python Part 2/354 reduce().mp438.95MB

18 Learn Python Part 2/355 List Comprehensions.mp431.28MB

18 Learn Python Part 2/356 Set Comprehensions.mp421.81MB

18 Learn Python Part 2/357 Exercise_ Comprehensions.mp414.83MB

18 Learn Python Part 2/359 Modules in Python.mp4168.74MB

18 Learn Python Part 2/361 Optional_ PyCharm.mp465.66MB

18 Learn Python Part 2/362 Packages in Python.mp4110MB

18 Learn Python Part 2/363 Different Ways To Import.mp439.43MB

20 Where To Go From Here_/367 Thank You.mp415.52MB