种子简介

种子名称： [GigaCourse.Com] Udemy - Complete Machine Learning & Data Science Bootcamp 2022
文件类型： 视频
文件数目： 323个文件
文件大小： 16.57 GB
收录时间： 2023-1-19 18:37
已经下载： 3次
资源热度： 179
最近下载： 2024-12-23 00:05

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:410f4bad29ec407e9daff21f3e55cb6e0db4749a&dn=[GigaCourse.Com] Udemy - Complete Machine Learning & Data Science Bootcamp 2022 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

[GigaCourse.Com] Udemy - Complete Machine Learning & Data Science Bootcamp 2022.torrent

01 - Introduction/001 Course Outline.mp477.27MB

01 - Introduction/002 Join Our Online Classroom!.mp477.56MB

01 - Introduction/004 Your First Day.mp427.98MB

02 - Machine Learning 101/001 What Is Machine Learning.mp428.3MB

02 - Machine Learning 101/002 AIMachine LearningData Science.mp419.67MB

02 - Machine Learning 101/003 Exercise Machine Learning Playground.mp442.62MB

02 - Machine Learning 101/004 How Did We Get Here.mp430.5MB

02 - Machine Learning 101/005 Exercise YouTube Recommendation Engine.mp48.89MB

02 - Machine Learning 101/006 Types of Machine Learning.mp49.63MB

02 - Machine Learning 101/008 What Is Machine Learning Round 2.mp411.85MB

02 - Machine Learning 101/009 Section Review.mp42.81MB

03 - Machine Learning and Data Science Framework/001 Section Overview.mp46.34MB

03 - Machine Learning and Data Science Framework/002 Introducing Our Framework.mp44.29MB

03 - Machine Learning and Data Science Framework/003 6 Step Machine Learning Framework.mp423.47MB

03 - Machine Learning and Data Science Framework/004 Types of Machine Learning Problems.mp420.98MB

03 - Machine Learning and Data Science Framework/005 Types of Data.mp419.99MB

03 - Machine Learning and Data Science Framework/006 Types of Evaluation.mp46.52MB

03 - Machine Learning and Data Science Framework/007 Features In Data.mp414.83MB

03 - Machine Learning and Data Science Framework/008 Modelling - Splitting Data.mp411.29MB

03 - Machine Learning and Data Science Framework/009 Modelling - Picking the Model.mp48.74MB

03 - Machine Learning and Data Science Framework/010 Modelling - Tuning.mp46.17MB

03 - Machine Learning and Data Science Framework/011 Modelling - Comparison.mp418.23MB

03 - Machine Learning and Data Science Framework/013 Experimentation.mp411.55MB

03 - Machine Learning and Data Science Framework/014 Tools We Will Use.mp412.91MB

04 - The 2 Paths/001 The 2 Paths.mp44.89MB

05 - Data Science Environment Setup/001 Section Overview.mp42.48MB

05 - Data Science Environment Setup/002 Introducing Our Tools.mp419.28MB

05 - Data Science Environment Setup/003 What is Conda.mp44.81MB

05 - Data Science Environment Setup/004 Conda Environments.mp414.63MB

05 - Data Science Environment Setup/005 Mac Environment Setup.mp4139.47MB

05 - Data Science Environment Setup/006 Mac Environment Setup 2.mp4122.18MB

05 - Data Science Environment Setup/007 Windows Environment Setup.mp432.9MB

05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4222.74MB

05 - Data Science Environment Setup/011 Jupyter Notebook Walkthrough.mp456.81MB

05 - Data Science Environment Setup/012 Jupyter Notebook Walkthrough 2.mp487.67MB

05 - Data Science Environment Setup/013 Jupyter Notebook Walkthrough 3.mp469.55MB

06 - Pandas Data Analysis/001 Section Overview.mp45.07MB

06 - Pandas Data Analysis/003 Pandas Introduction.mp411.09MB

06 - Pandas Data Analysis/004 Series, Data Frames and CSVs.mp491.07MB

06 - Pandas Data Analysis/006 Describing Data with Pandas.mp463.5MB

06 - Pandas Data Analysis/007 Selecting and Viewing Data with Pandas.mp461.69MB

06 - Pandas Data Analysis/008 Selecting and Viewing Data with Pandas Part 2.mp4103.38MB

06 - Pandas Data Analysis/009 Manipulating Data.mp4100.96MB

06 - Pandas Data Analysis/010 Manipulating Data 2.mp484.27MB

06 - Pandas Data Analysis/011 Manipulating Data 3.mp476.71MB

06 - Pandas Data Analysis/013 How To Download The Course Assignments.mp464.53MB

07 - NumPy/001 Section Overview.mp412.5MB

07 - NumPy/002 NumPy Introduction.mp413.62MB

07 - NumPy/004 NumPy DataTypes and Attributes.mp456.55MB

07 - NumPy/005 Creating NumPy Arrays.mp445.62MB

07 - NumPy/006 NumPy Random Seed.mp436.47MB

07 - NumPy/007 Viewing Arrays and Matrices.mp459.35MB

07 - NumPy/008 Manipulating Arrays.mp468.46MB

07 - NumPy/009 Manipulating Arrays 2.mp457.97MB

07 - NumPy/010 Standard Deviation and Variance.mp436.77MB

07 - NumPy/011 Reshape and Transpose.mp451.46MB

07 - NumPy/012 Dot Product vs Element Wise.mp469.76MB

07 - NumPy/013 Exercise Nut Butter Store Sales.mp487.18MB

07 - NumPy/014 Comparison Operators.mp422.01MB

07 - NumPy/015 Sorting Arrays.mp424.26MB

07 - NumPy/016 Turn Images Into NumPy Arrays.mp471.28MB

07 - NumPy/017 Exercise Imposter Syndrome.mp426.52MB

08 - Matplotlib Plotting and Data Visualization/001 Section Overview.mp43.84MB

08 - Matplotlib Plotting and Data Visualization/002 Matplotlib Introduction.mp420.9MB

08 - Matplotlib Plotting and Data Visualization/003 Importing And Using Matplotlib.mp483.89MB

08 - Matplotlib Plotting and Data Visualization/004 Anatomy Of A Matplotlib Figure.mp453.23MB

08 - Matplotlib Plotting and Data Visualization/005 Scatter Plot And Bar Plot.mp444.65MB

08 - Matplotlib Plotting and Data Visualization/006 Histograms And Subplots.mp457.51MB

08 - Matplotlib Plotting and Data Visualization/007 Subplots Option 2.mp431.22MB

08 - Matplotlib Plotting and Data Visualization/008 Quick Tip Data Visualizations.mp45.36MB

08 - Matplotlib Plotting and Data Visualization/009 Plotting From Pandas DataFrames.mp449.44MB

08 - Matplotlib Plotting and Data Visualization/011 Plotting From Pandas DataFrames 2.mp497.25MB

08 - Matplotlib Plotting and Data Visualization/012 Plotting from Pandas DataFrames 3.mp473.4MB

08 - Matplotlib Plotting and Data Visualization/013 Plotting from Pandas DataFrames 4.mp440.57MB

08 - Matplotlib Plotting and Data Visualization/014 Plotting from Pandas DataFrames 5.mp454.46MB

08 - Matplotlib Plotting and Data Visualization/015 Plotting from Pandas DataFrames 6.mp467.43MB

08 - Matplotlib Plotting and Data Visualization/016 Plotting from Pandas DataFrames 7.mp4119.01MB

08 - Matplotlib Plotting and Data Visualization/017 Customizing Your Plots.mp490.94MB

08 - Matplotlib Plotting and Data Visualization/018 Customizing Your Plots 2.mp4123.59MB

08 - Matplotlib Plotting and Data Visualization/019 Saving And Sharing Your Plots.mp449.68MB

09 - Scikit-learn Creating Machine Learning Models/001 Section Overview.mp45.57MB

09 - Scikit-learn Creating Machine Learning Models/002 Scikit-learn Introduction.mp417.16MB

09 - Scikit-learn Creating Machine Learning Models/004 Refresher What Is Machine Learning.mp417.85MB

09 - Scikit-learn Creating Machine Learning Models/006 Scikit-learn Cheatsheet.mp475.13MB

09 - Scikit-learn Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4184.52MB

09 - Scikit-learn Creating Machine Learning Models/008 Optional Debugging Warnings In Jupyter.mp4171.51MB

09 - Scikit-learn Creating Machine Learning Models/009 Getting Your Data Ready Splitting Your Data.mp460.96MB

09 - Scikit-learn Creating Machine Learning Models/010 Quick Tip Clean, Transform, Reduce.mp49.74MB

09 - Scikit-learn Creating Machine Learning Models/011 Getting Your Data Ready Convert Data To Numbers.mp4130.92MB

09 - Scikit-learn Creating Machine Learning Models/013 Getting Your Data Ready Handling Missing Values With Pandas.mp4102.27MB

09 - Scikit-learn Creating Machine Learning Models/016 Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4131.31MB

09 - Scikit-learn Creating Machine Learning Models/017 NEW Choosing The Right Model For Your Data.mp4234.14MB

09 - Scikit-learn Creating Machine Learning Models/018 NEW Choosing The Right Model For Your Data 2 (Regression).mp4128.55MB

09 - Scikit-learn Creating Machine Learning Models/020 Quick Tip How ML Algorithms Work.mp46.36MB

09 - Scikit-learn Creating Machine Learning Models/021 Choosing The Right Model For Your Data 3 (Classification).mp4115.9MB

09 - Scikit-learn Creating Machine Learning Models/022 Fitting A Model To The Data.mp438.4MB

09 - Scikit-learn Creating Machine Learning Models/023 Making Predictions With Our Model.mp464.2MB

09 - Scikit-learn Creating Machine Learning Models/024 predict() vs predict_proba().mp439.1MB

09 - Scikit-learn Creating Machine Learning Models/025 NEW Making Predictions With Our Model (Regression).mp479.24MB

09 - Scikit-learn Creating Machine Learning Models/026 NEW Evaluating A Machine Learning Model (Score) Part 1.mp483.49MB

09 - Scikit-learn Creating Machine Learning Models/027 NEW Evaluating A Machine Learning Model (Score) Part 2.mp452.96MB

09 - Scikit-learn Creating Machine Learning Models/028 Evaluating A Machine Learning Model 2 (Cross Validation).mp446.72MB

09 - Scikit-learn Creating Machine Learning Models/029 Evaluating A Classification Model 1 (Accuracy).mp429.85MB

09 - Scikit-learn Creating Machine Learning Models/030 Evaluating A Classification Model 2 (ROC Curve).mp463.09MB

09 - Scikit-learn Creating Machine Learning Models/031 Evaluating A Classification Model 3 (ROC Curve).mp447.7MB

09 - Scikit-learn Creating Machine Learning Models/033 Evaluating A Classification Model 4 (Confusion Matrix).mp425.73MB

09 - Scikit-learn Creating Machine Learning Models/034 NEW Evaluating A Classification Model 5 (Confusion Matrix).mp4106.56MB

09 - Scikit-learn Creating Machine Learning Models/035 Evaluating A Classification Model 6 (Classification Report).mp484.93MB

09 - Scikit-learn Creating Machine Learning Models/036 NEW Evaluating A Regression Model 1 (R2 Score).mp499.55MB

09 - Scikit-learn Creating Machine Learning Models/037 NEW Evaluating A Regression Model 2 (MAE).mp442.9MB

09 - Scikit-learn Creating Machine Learning Models/038 NEW Evaluating A Regression Model 3 (MSE).mp475.54MB

09 - Scikit-learn Creating Machine Learning Models/040 NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4224.79MB

09 - Scikit-learn Creating Machine Learning Models/041 NEW Evaluating A Model With Scikit-learn Functions.mp4130.44MB

09 - Scikit-learn Creating Machine Learning Models/042 Improving A Machine Learning Model.mp487.27MB

09 - Scikit-learn Creating Machine Learning Models/043 Tuning Hyperparameters.mp4168.05MB

09 - Scikit-learn Creating Machine Learning Models/044 Tuning Hyperparameters 2.mp4112.39MB

09 - Scikit-learn Creating Machine Learning Models/045 Tuning Hyperparameters 3.mp4118.2MB

09 - Scikit-learn Creating Machine Learning Models/047 Quick Tip Correlation Analysis.mp416.41MB

09 - Scikit-learn Creating Machine Learning Models/048 Saving And Loading A Model.mp444.06MB

09 - Scikit-learn Creating Machine Learning Models/049 Saving And Loading A Model 2.mp447.61MB

09 - Scikit-learn Creating Machine Learning Models/050 Putting It All Together.mp4143.19MB

09 - Scikit-learn Creating Machine Learning Models/051 Putting It All Together 2.mp4114.25MB

11 - Milestone Project 1 Supervised Learning (Classification)/001 Section Overview.mp44.57MB

11 - Milestone Project 1 Supervised Learning (Classification)/002 Project Overview.mp413.67MB

11 - Milestone Project 1 Supervised Learning (Classification)/003 Project Environment Setup.mp497.97MB

11 - Milestone Project 1 Supervised Learning (Classification)/004 Optional Windows Project Environment Setup.mp411.21MB

11 - Milestone Project 1 Supervised Learning (Classification)/005 Step 1~4 Framework Setup.mp4102.16MB

11 - Milestone Project 1 Supervised Learning (Classification)/006 Getting Our Tools Ready.mp476.79MB

11 - Milestone Project 1 Supervised Learning (Classification)/007 Exploring Our Data.mp464.39MB

11 - Milestone Project 1 Supervised Learning (Classification)/008 Finding Patterns.mp460.29MB

11 - Milestone Project 1 Supervised Learning (Classification)/009 Finding Patterns 2.mp494.27MB

11 - Milestone Project 1 Supervised Learning (Classification)/010 Finding Patterns 3.mp4135.88MB

11 - Milestone Project 1 Supervised Learning (Classification)/011 Preparing Our Data For Machine Learning.mp470.46MB

11 - Milestone Project 1 Supervised Learning (Classification)/012 Choosing The Right Models.mp494.08MB

11 - Milestone Project 1 Supervised Learning (Classification)/013 Experimenting With Machine Learning Models.mp453.99MB

11 - Milestone Project 1 Supervised Learning (Classification)/014 TuningImproving Our Model.mp4102.77MB

11 - Milestone Project 1 Supervised Learning (Classification)/015 Tuning Hyperparameters.mp4106.21MB

11 - Milestone Project 1 Supervised Learning (Classification)/016 Tuning Hyperparameters 2.mp4101.81MB

11 - Milestone Project 1 Supervised Learning (Classification)/017 Tuning Hyperparameters 3.mp461.52MB

11 - Milestone Project 1 Supervised Learning (Classification)/019 Evaluating Our Model.mp468.07MB

11 - Milestone Project 1 Supervised Learning (Classification)/020 Evaluating Our Model 2.mp434.64MB

11 - Milestone Project 1 Supervised Learning (Classification)/021 Evaluating Our Model 3.mp462.15MB

11 - Milestone Project 1 Supervised Learning (Classification)/022 Finding The Most Important Features.mp4123.66MB

11 - Milestone Project 1 Supervised Learning (Classification)/023 Reviewing The Project.mp484.81MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/001 Section Overview.mp48.72MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/002 Project Overview.mp413.49MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/004 Project Environment Setup.mp499.05MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/005 Step 1~4 Framework Setup.mp484.12MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4135.66MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/007 Exploring Our Data 2.mp450.64MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/008 Feature Engineering.mp4157.46MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4144.14MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/010 Filling Missing Numerical Values.mp4103.35MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/011 Filling Missing Categorical Values.mp464.55MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/012 Fitting A Machine Learning Model.mp453.48MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/013 Splitting Data.mp480.07MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/015 Custom Evaluation Function.mp4100.73MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/016 Reducing Data.mp491.43MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/017 RandomizedSearchCV.mp472.06MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/018 Improving Hyperparameters.mp478.03MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/019 Preproccessing Our Data.mp4138.17MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/020 Making Predictions.mp428.67MB

12 - Milestone Project 2 Supervised Learning (Time Series Data)/021 Feature Importance.mp4140.53MB

13 - Data Engineering/001 Data Engineering Introduction.mp46.57MB

13 - Data Engineering/002 What Is Data.mp430.66MB

13 - Data Engineering/003 What Is A Data Engineer.mp49.5MB

13 - Data Engineering/004 What Is A Data Engineer 2.mp424.21MB

13 - Data Engineering/005 What Is A Data Engineer 3.mp410.96MB

13 - Data Engineering/006 What Is A Data Engineer 4.mp47.43MB

13 - Data Engineering/007 Types Of Databases.mp424.34MB

13 - Data Engineering/009 Optional OLTP Databases.mp468.25MB

13 - Data Engineering/011 Hadoop, HDFS and MapReduce.mp410.07MB

13 - Data Engineering/012 Apache Spark and Apache Flink.mp42.93MB

13 - Data Engineering/013 Kafka and Stream Processing.mp414.35MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/001 Section Overview.mp46.39MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/002 Deep Learning and Unstructured Data.mp469.84MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/004 Setting Up Google Colab.mp473.92MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/005 Google Colab Workspace.mp432.22MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/006 Uploading Project Data.mp450.22MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/007 Setting Up Our Data.mp441.33MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/008 Setting Up Our Data 2.mp421.05MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/009 Importing TensorFlow 2.mp4114.67MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/010 Optional TensorFlow 2.0 Default Issue.mp413.98MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/011 Using A GPU.mp478.9MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/012 Optional GPU and Google Colab.mp438.21MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/013 Optional Reloading Colab Notebook.mp489.27MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/014 Loading Our Data Labels.mp4112.35MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4132.02MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/016 Turning Data Labels Into Numbers.mp470.52MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/017 Creating Our Own Validation Set.mp455.57MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/018 Preprocess Images.mp488.01MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/019 Preprocess Images 2.mp4103.44MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/020 Turning Data Into Batches.mp474.64MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/021 Turning Data Into Batches 2.mp4126.96MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/022 Visualizing Our Data.mp4120.07MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/023 Preparing Our Inputs and Outputs.mp447.95MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/025 Building A Deep Learning Model.mp4102.61MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/026 Building A Deep Learning Model 2.mp488.56MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/027 Building A Deep Learning Model 3.mp4105.33MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/028 Building A Deep Learning Model 4.mp486.42MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/029 Summarizing Our Model.mp444.43MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/030 Evaluating Our Model.mp467.09MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/031 Preventing Overfitting.mp435.26MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4163.18MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/033 Evaluating Performance With TensorBoard.mp473.28MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4153.65MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/035 Transform Predictions To Text.mp4126.3MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/036 Visualizing Model Predictions.mp4115.62MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/037 Visualizing And Evaluate Model Predictions 2.mp463.49MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/038 Visualizing And Evaluate Model Predictions 3.mp4112.65MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/039 Saving And Loading A Trained Model.mp454.07MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/040 Training Model On Full Dataset.mp4137.65MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/041 Making Predictions On Test Images.mp4119.93MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/042 Submitting Model to Kaggle.mp4102MB

14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/043 Making Predictions On Our Images.mp4119.39MB

15 - Storytelling + Communication How To Present Your Work/001 Section Overview.mp44.83MB

15 - Storytelling + Communication How To Present Your Work/002 Communicating Your Work.mp48.42MB

15 - Storytelling + Communication How To Present Your Work/003 Communicating With Managers.mp46.67MB

15 - Storytelling + Communication How To Present Your Work/004 Communicating With Co-Workers.mp47.34MB

15 - Storytelling + Communication How To Present Your Work/005 Weekend Project Principle.mp410.32MB

15 - Storytelling + Communication How To Present Your Work/006 Communicating With Outside World.mp46.29MB

15 - Storytelling + Communication How To Present Your Work/007 Storytelling.mp44.86MB

16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience.mp4147.31MB

16 - Career Advice + Extra Bits/006 JTS Learn to Learn.mp45.38MB

16 - Career Advice + Extra Bits/007 JTS Start With Why.mp415.42MB

16 - Career Advice + Extra Bits/009 CWD Git + Github.mp4169.84MB

16 - Career Advice + Extra Bits/010 CWD Git + Github 2.mp4102.55MB

16 - Career Advice + Extra Bits/011 Contributing To Open Source.mp4126.78MB

16 - Career Advice + Extra Bits/012 Contributing To Open Source 2.mp4113.11MB

17 - Learn Python/001 What Is A Programming Language.mp476.43MB

17 - Learn Python/002 Python Interpreter.mp468.5MB

17 - Learn Python/003 How To Run Python Code.mp436.45MB

17 - Learn Python/004 Our First Python Program.mp429.77MB

17 - Learn Python/005 Latest Version Of Python.mp46.97MB

17 - Learn Python/006 Python 2 vs Python 3.mp465.82MB

17 - Learn Python/007 Exercise How Does Python Work.mp49.36MB

17 - Learn Python/008 Learning Python.mp46.55MB

17 - Learn Python/009 Python Data Types.mp411.96MB

17 - Learn Python/011 Numbers.mp455.1MB

17 - Learn Python/012 Math Functions.mp425.88MB

17 - Learn Python/013 DEVELOPER FUNDAMENTALS I.mp447.73MB

17 - Learn Python/014 Operator Precedence.mp45.78MB

17 - Learn Python/016 Optional bin() and complex.mp414.45MB

17 - Learn Python/017 Variables.mp456.87MB

17 - Learn Python/018 Expressions vs Statements.mp43.16MB

17 - Learn Python/019 Augmented Assignment Operator.mp413.35MB

17 - Learn Python/020 Strings.mp411.19MB

17 - Learn Python/021 String Concatenation.mp42.5MB

17 - Learn Python/022 Type Conversion.mp414.6MB

17 - Learn Python/023 Escape Sequences.mp48.68MB

17 - Learn Python/024 Formatted Strings.mp421.81MB

17 - Learn Python/025 String Indexes.mp417.42MB

17 - Learn Python/026 Immutability.mp46.65MB

17 - Learn Python/027 Built-In Functions + Methods.mp444.07MB

17 - Learn Python/028 Booleans.mp47.45MB

17 - Learn Python/029 Exercise Type Conversion.mp421.75MB

17 - Learn Python/030 DEVELOPER FUNDAMENTALS II.mp418.67MB

17 - Learn Python/031 Exercise Password Checker.mp424.55MB

17 - Learn Python/032 Lists.mp48.9MB

17 - Learn Python/033 List Slicing.mp417.54MB

17 - Learn Python/034 Matrix.mp48.72MB

17 - Learn Python/035 List Methods.mp440.19MB

17 - Learn Python/036 List Methods 2.mp417.63MB

17 - Learn Python/037 List Methods 3.mp418.3MB

17 - Learn Python/038 Common List Patterns.mp416.82MB

17 - Learn Python/039 List Unpacking.mp46.2MB

17 - Learn Python/040 None.mp43.08MB

17 - Learn Python/041 Dictionaries.mp412.48MB

17 - Learn Python/042 DEVELOPER FUNDAMENTALS III.mp48.66MB

17 - Learn Python/043 Dictionary Keys.mp47.88MB

17 - Learn Python/044 Dictionary Methods.mp410.07MB

17 - Learn Python/045 Dictionary Methods 2.mp428.18MB

17 - Learn Python/046 Tuples.mp49.99MB

17 - Learn Python/047 Tuples 2.mp47.45MB

17 - Learn Python/048 Sets.mp424.25MB

17 - Learn Python/049 Sets 2.mp452.47MB

18 - Learn Python Part 2/001 Breaking The Flow.mp47.4MB

18 - Learn Python Part 2/002 Conditional Logic.mp456.56MB

18 - Learn Python Part 2/003 Indentation In Python.mp411.3MB

18 - Learn Python Part 2/004 Truthy vs Falsey.mp436.34MB

18 - Learn Python Part 2/005 Ternary Operator.mp48.31MB

18 - Learn Python Part 2/006 Short Circuiting.mp48.14MB

18 - Learn Python Part 2/007 Logical Operators.mp414.6MB

18 - Learn Python Part 2/008 Exercise Logical Operators.mp423.49MB

18 - Learn Python Part 2/009 is vs ==.mp418.05MB

18 - Learn Python Part 2/010 For Loops.mp416.42MB

18 - Learn Python Part 2/011 Iterables.mp423.53MB

18 - Learn Python Part 2/012 Exercise Tricky Counter.mp48.11MB

18 - Learn Python Part 2/013 range().mp420.79MB

18 - Learn Python Part 2/014 enumerate().mp49.4MB

18 - Learn Python Part 2/015 While Loops.mp413.94MB

18 - Learn Python Part 2/016 While Loops 2.mp411.48MB

18 - Learn Python Part 2/017 break, continue, pass.mp49.26MB

18 - Learn Python Part 2/018 Our First GUI.mp446.04MB

18 - Learn Python Part 2/019 DEVELOPER FUNDAMENTALS IV.mp424.69MB

18 - Learn Python Part 2/020 Exercise Find Duplicates.mp410.29MB

18 - Learn Python Part 2/021 Functions.mp421.27MB

18 - Learn Python Part 2/022 Parameters and Arguments.mp411.29MB

18 - Learn Python Part 2/023 Default Parameters and Keyword Arguments.mp418.12MB

18 - Learn Python Part 2/024 return.mp436.79MB

18 - Learn Python Part 2/026 Methods vs Functions.mp422.1MB

18 - Learn Python Part 2/027 Docstrings.mp410.25MB

18 - Learn Python Part 2/028 Clean Code.mp417.58MB

18 - Learn Python Part 2/029 args and kwargs.mp417.54MB

18 - Learn Python Part 2/030 Exercise Functions.mp410.66MB

18 - Learn Python Part 2/031 Scope.mp48.1MB

18 - Learn Python Part 2/032 Scope Rules.mp418.9MB

18 - Learn Python Part 2/033 global Keyword.mp421.37MB

18 - Learn Python Part 2/034 nonlocal Keyword.mp49.34MB

18 - Learn Python Part 2/035 Why Do We Need Scope.mp48.64MB

18 - Learn Python Part 2/036 Pure Functions.mp430.02MB

18 - Learn Python Part 2/037 map().mp433.46MB

18 - Learn Python Part 2/038 filter().mp49.92MB

18 - Learn Python Part 2/039 zip().mp410.18MB

18 - Learn Python Part 2/040 reduce().mp427.69MB

18 - Learn Python Part 2/041 List Comprehensions.mp424.29MB

18 - Learn Python Part 2/042 Set Comprehensions.mp417.08MB

18 - Learn Python Part 2/043 Exercise Comprehensions.mp49.64MB

18 - Learn Python Part 2/045 Modules in Python.mp478.21MB

18 - Learn Python Part 2/047 Optional PyCharm.mp425.34MB

18 - Learn Python Part 2/048 Packages in Python.mp461.85MB

18 - Learn Python Part 2/049 Different Ways To Import.mp423.94MB

20 - Where To Go From Here/002 Thank You.mp411.09MB