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Udemy - Master Time Series Analysis and Forecasting with Python 2025 (2.2025)

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Udemy - Master Time Series Analysis and Forecasting with Python 2025 (2.2025)

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最近下载:2025-08-15

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文件列表

  • 09. CAPTONE PROJECT Prophet/3. Python - Challenge Solutions Part 2.mp4 384.4 MB
  • 14. CAPSTONE PROJECT Multiple Series with TFT/2. Python Solutions - TFT Model.mp4 309.4 MB
  • 08. (Facebook) Prophet/14. Python - Fixing 2012-10-29 with ChatGPT.mp4 254.9 MB
  • 10. Linkedin Silverkite/22. Python - Silverkite Cross-Validation.mp4 253.6 MB
  • 19. CAPSTONE PROJECT Build an Automated Time Series Forecasting Model/6. Python - Build an Automated Time Series Forecasting Model Part 5.mp4 241.7 MB
  • 19. CAPSTONE PROJECT Build an Automated Time Series Forecasting Model/3. Python - Build an Automated Time Series Forecasting Model Part 2.mp4 239.4 MB
  • 15. N-BEATS/11. Python - Cross-Validation Results and Visualization.mp4 229.6 MB
  • 23. CAPSTONE PROJECT Virtual Escape Game/4. Python - Solving with ChatGPT.mp4 226.8 MB
  • 19. CAPSTONE PROJECT Build an Automated Time Series Forecasting Model/5. Python - Build an Automated Time Series Forecasting Model Part 4.mp4 210.4 MB
  • 12. RNN - LSTM/35. Python - Predicting the future.mp4 206.9 MB
  • 09. CAPTONE PROJECT Prophet/2. Python - Challenge Solutions Part 1.mp4 201.8 MB
  • 19. CAPSTONE PROJECT Build an Automated Time Series Forecasting Model/7. Python - Build an Automated Time Series Forecasting Model Part 6.mp4 197.2 MB
  • 08. (Facebook) Prophet/15. Python - Feature Engineering.mp4 197.0 MB
  • 12. RNN - LSTM/18. Python - Parameter Tuning Round 2.mp4 189.3 MB
  • 20. APPENDIX - Python for Data Analysis Course/4. Setting up Jupyter Notebook.mp4 183.6 MB
  • 17. GenAI for Time Series Amazon Chronos/8. Python - Cross-Validation part 1.mp4 175.0 MB
  • 12. RNN - LSTM/14. Python - Cross-Validation Performance.mp4 175.0 MB
  • 17. GenAI for Time Series Amazon Chronos/11. Python - Parameter Tuning.mp4 174.4 MB
  • 12. RNN - LSTM/12. Python - LSTM Model.mp4 173.7 MB
  • 22. Python Intermediate/34. CHALLENGE Recipe Converter.mp4 169.6 MB
  • 12. RNN - LSTM/27. Python - Visualization + Hourly Seasonality.mp4 166.8 MB
  • 18. Amazon AutoGluon/8. Python - Amazon AutoGluon Final Model Outcome.mp4 161.8 MB
  • 12. RNN - LSTM/24. Python - Preparing Script and Loading Data.mp4 161.1 MB
  • 06. ARIMA, SARIMA and SARIMAX/19. Python - Parameter Tuning.mp4 158.7 MB
  • 14. CAPSTONE PROJECT Multiple Series with TFT/4. Python Solutions - Parameter Tuning.mp4 157.0 MB
  • 08. (Facebook) Prophet/11. Python - Regressor Coefficients with ChatGPT.mp4 155.6 MB
  • 17. GenAI for Time Series Amazon Chronos/9. Python - Cross-Validation part 2.mp4 155.4 MB
  • 05. HOLT-WINTERS CAPSTONE PROJECT Air miles/2. Python Solutions Setting up and EDA.mp4 153.4 MB
  • 08. (Facebook) Prophet/8. Python - Holidays.mp4 151.9 MB
  • 12. RNN - LSTM/5. Python - Directory and Libraries.mp4 151.2 MB
  • 22. Python Intermediate/20. CHALLENGE The Budgeting Mastermind.mp4 151.0 MB
  • 17. GenAI for Time Series Amazon Chronos/10. Python - Cross-Validation part 3.mp4 148.3 MB
  • 12. RNN - LSTM/31. Python - CV Results.mp4 148.1 MB
  • 13. Temporal Fusion Transformers (TFT)/5. TFT Model Architecture.mp4 146.9 MB
  • 08. (Facebook) Prophet/6. Python - Exploratory Data Analysis.mp4 146.3 MB
  • 13. Temporal Fusion Transformers (TFT)/12. Python - TFT Model.mp4 145.4 MB
  • 19. CAPSTONE PROJECT Build an Automated Time Series Forecasting Model/2. Python - Build an Automated Time Series Forecasting Model Part 1.mp4 145.1 MB
  • 22. Python Intermediate/16. CHALLENGE Read My Mind.mp4 144.9 MB
  • 21. Python Essentials/34. CHALLENGE Your Monthly Savings Plan.mp4 144.9 MB
  • 17. GenAI for Time Series Amazon Chronos/7. Python - Amazon Chronos Model.mp4 142.7 MB
  • 08. (Facebook) Prophet/5. Python - Preparing Data.mp4 141.7 MB
  • 24. Pandas/20. Python Solutions Data Manipulation.mp4 141.5 MB
  • 17. GenAI for Time Series Amazon Chronos/12. Python - Tuned Amazon Chronos Model.mp4 138.7 MB
  • 10. Linkedin Silverkite/13. Python - Available Countries and Holidays.mp4 137.8 MB
  • 25. Pandas Challenge/4. Python - Data Cleaning and Preparation.mp4 135.7 MB
  • 10. Linkedin Silverkite/5. Python - Directory and Libraries.mp4 135.5 MB
  • 10. Linkedin Silverkite/24. Python - Visualization and Forecast.mp4 133.7 MB
  • 13. Temporal Fusion Transformers (TFT)/4. Python - Starter File.mp4 127.6 MB
  • 08. (Facebook) Prophet/21. Python - Forecasting.mp4 127.0 MB
  • 17. GenAI for Time Series Amazon Chronos/5. Python - Dates.mp4 126.2 MB
  • 18. Amazon AutoGluon/9. Python - Interpretability.mp4 125.8 MB
  • 13. Temporal Fusion Transformers (TFT)/9. Python - Future Covariates.mp4 125.7 MB
  • 08. (Facebook) Prophet/22. Python - Prophet Data Visualization with ChatGPT.mp4 121.0 MB
  • 13. Temporal Fusion Transformers (TFT)/7. Python - Series, Time and Static Covariates.mp4 119.6 MB
  • 23. CAPSTONE PROJECT Virtual Escape Game/3. Python - Virtual Escape Game Solutions part 2.mp4 119.1 MB
  • 18. Amazon AutoGluon/5. Python - Amazon AutoGluon model.mp4 118.7 MB
  • 23. CAPSTONE PROJECT Virtual Escape Game/2. Python - Virtual Escape Game Solutions part 1.mp4 117.7 MB
  • 22. Python Intermediate/25. CHALLENGE Treasure Hunter.mp4 116.5 MB
  • 25. Pandas Challenge/5. Python - Data Manipulation.mp4 115.8 MB
  • 08. (Facebook) Prophet/19. Python - Predicting The Future Set Up.mp4 114.9 MB
  • 12. RNN - LSTM/33. Python - Parameter Tuning round 1.mp4 112.9 MB
  • 08. (Facebook) Prophet/4. Python - Directory and Libraries.mp4 111.3 MB
  • 19. CAPSTONE PROJECT Build an Automated Time Series Forecasting Model/8. Python - Build an Automated Time Series Forecasting Model Part 7.mp4 110.7 MB
  • 24. Pandas/25. Python Solutions Data Analysis.mp4 110.2 MB
  • 12. RNN - LSTM/20. Python - Tuned LSTM Model.mp4 110.0 MB
  • 13. Temporal Fusion Transformers (TFT)/17. Python - Parameter Grid.mp4 109.1 MB
  • 15. N-BEATS/14. Python - Best Parameters.mp4 108.7 MB
  • 10. Linkedin Silverkite/23. Python - Parameter Tuning Results.mp4 108.6 MB
  • 12. RNN - LSTM/17. Python - Parameter Tuning Round 1 Part 2.mp4 108.0 MB
  • 18. Amazon AutoGluon/4. Python - Data Processing.mp4 107.6 MB
  • 15. N-BEATS/5. Python - Series.mp4 107.2 MB
  • 24. Pandas/10. Python Data Cleaning and Preparation.mp4 106.4 MB
  • 06. ARIMA, SARIMA and SARIMAX/16. Python - Cross-Validation.mp4 105.8 MB
  • 14. CAPSTONE PROJECT Multiple Series with TFT/5. Python Solutions - Predict The Future.mp4 105.3 MB
  • 08. (Facebook) Prophet/13. Python - Performance Metrics.mp4 103.8 MB
  • 12. RNN - LSTM/16. Python - Parameter Tuning Round 1.mp4 103.5 MB
  • 17. GenAI for Time Series Amazon Chronos/13. Python - Visualizing the Forecast.mp4 103.1 MB
  • 08. (Facebook) Prophet/12. Python - Cross-Validation.mp4 102.4 MB
  • 18. Amazon AutoGluon/6. Python - Amazon AutoGluon model outcome.mp4 99.0 MB
  • 06. ARIMA, SARIMA and SARIMAX/3. Python - Setting Up.mp4 98.9 MB
  • 04. Exponential Smoothing & Holt-Winters/17. Python - Daily Data.mp4 95.9 MB
  • 04. Exponential Smoothing & Holt-Winters/15. Python - MAE, RMSE, MAPE.mp4 95.7 MB
  • 08. (Facebook) Prophet/10. Python - Prophet Model.mp4 94.9 MB
  • 06. ARIMA, SARIMA and SARIMAX/9. Python - ARIMA.mp4 94.6 MB
  • 13. Temporal Fusion Transformers (TFT)/18. Python - Parameter Tuning.mp4 93.4 MB
  • 21. Python Essentials/33. CHALLENGE Berghain Club Bouncer.mp4 92.7 MB
  • 15. N-BEATS/4. Python - Setup.mp4 92.3 MB
  • 12. RNN - LSTM/8. Python - Time Variables.mp4 92.2 MB
  • 13. Temporal Fusion Transformers (TFT)/22. Python - Interpretability.mp4 92.2 MB
  • 13. Temporal Fusion Transformers (TFT)/21. Python - Forecasting and Visualization.mp4 91.9 MB
  • 20. APPENDIX - Python for Data Analysis Course/3. Setting up Google Colab.mp4 91.2 MB
  • 21. Python Essentials/37. Atomic Habits, by James Clear.mp4 90.4 MB
  • 12. RNN - LSTM/32. Python - CV Visualization.mp4 89.2 MB
  • 15. N-BEATS/12. Python - Parameters.mp4 88.4 MB
  • 05. HOLT-WINTERS CAPSTONE PROJECT Air miles/3. Python Solutions Model building and Assessment.mp4 88.3 MB
  • 13. Temporal Fusion Transformers (TFT)/19. Python - Parameter Tuning Results and Storing.mp4 88.3 MB
  • 13. Temporal Fusion Transformers (TFT)/20. Python - Tuned TFT Model.mp4 87.7 MB
  • 06. ARIMA, SARIMA and SARIMAX/14. Python - SARIMAX.mp4 86.0 MB
  • 25. Pandas Challenge/7. Python - Data Visualization with Pandas.mp4 85.7 MB
  • 15. N-BEATS/9. Python - N-BEATS Model.mp4 84.8 MB
  • 19. CAPSTONE PROJECT Build an Automated Time Series Forecasting Model/4. Python - Build an Automated Time Series Forecasting Model Part 3.mp4 84.6 MB
  • 24. Pandas/4. Python Sorting and Filtering Data with Pandas.mp4 84.2 MB
  • 12. RNN - LSTM/15. Python - Parameter Grid.mp4 84.2 MB
  • 03. Introduction to Time Series Forecasting/7. Python - Data Manipulation.mp4 83.2 MB
  • 15. N-BEATS/16. Python - Predicting the future.mp4 82.1 MB
  • 08. (Facebook) Prophet/17. Python - Parameter Tuning.mp4 81.5 MB
  • 24. Pandas/3. Python Importing and Exporting Data.mp4 81.4 MB
  • 12. RNN - LSTM/19. Python - Parameter Tuning Final Results.mp4 79.7 MB
  • 13. Temporal Fusion Transformers (TFT)/14. Python - Cross-Validation Results.mp4 78.3 MB
  • 03. Introduction to Time Series Forecasting/4. Python - Time Series Index.mp4 78.0 MB
  • 03. Introduction to Time Series Forecasting/10. Python - Seasonal Decomposition.mp4 77.8 MB
  • 15. N-BEATS/15. Python - Tuned N-Beats model.mp4 77.7 MB
  • 10. Linkedin Silverkite/21. Python - Custom Elements and Silverkite Model.mp4 77.1 MB
  • 18. Amazon AutoGluon/7. Python - Amazon AutoGluon with Covariates.mp4 76.8 MB
  • 09. CAPTONE PROJECT Prophet/4. Python - Challenge Solutions Part 3.mp4 76.3 MB
  • 21. Python Essentials/28. CHALLENGE Split Bill Calculator.mp4 76.2 MB
  • 10. Linkedin Silverkite/6. Python - Loading and Preparing Data.mp4 75.9 MB
  • 25. Pandas Challenge/6. Python - Data Analysis.mp4 75.5 MB
  • 12. RNN - LSTM/9. Python - Scaling.mp4 75.5 MB
  • 24. Pandas/26. Python Data Visualization with Pandas.mp4 75.4 MB
  • 12. RNN - LSTM/26. Python - Preprocessing Time.mp4 74.8 MB
  • 17. GenAI for Time Series Amazon Chronos/4. Python - Setup.mp4 73.8 MB
  • 24. Pandas/21. Python Data Analysis.mp4 73.0 MB
  • 24. Pandas/15. Python Data Manipulation.mp4 72.3 MB
  • 12. RNN - LSTM/22. Multiple Time Series Forecasting.mp4 71.6 MB
  • 12. RNN - LSTM/13. Python - Cross-Validation.mp4 69.9 MB
  • 10. Linkedin Silverkite/7. Python - Metadata.mp4 69.8 MB
  • 06. ARIMA, SARIMA and SARIMAX/7. Python - Stationarity with ChatGPT.mp4 69.1 MB
  • 08. (Facebook) Prophet/18. Python - Parameter Tuning Outcome.mp4 68.8 MB
  • 13. Temporal Fusion Transformers (TFT)/2. Introduction to Temporal Fusion Transformers.mp4 68.2 MB
  • 12. RNN - LSTM/34. Python - Parameter Tuning round 2.mp4 67.7 MB
  • 03. Introduction to Time Series Forecasting/18. CASE STUDY Forecasting Gone Wrong.mp4 66.2 MB
  • 13. Temporal Fusion Transformers (TFT)/13. Python - Cross-Validation.mp4 66.2 MB
  • 04. Exponential Smoothing & Holt-Winters/3. Python - Set Up.mp4 65.2 MB
  • 12. RNN - LSTM/25. Python - Preprocessing Data.mp4 64.5 MB
  • 06. ARIMA, SARIMA and SARIMAX/12. Python - SARIMA.mp4 64.5 MB
  • 21. Python Essentials/21. Python Solutions Arithmetic Operators.mp4 64.2 MB
  • 09. CAPTONE PROJECT Prophet/1. Project Introduction.mp4 64.0 MB
  • 15. N-BEATS/3. N-BEATS Architecture.mp4 63.9 MB
  • 24. Pandas/27. EXERCISE Data Visualization with Pandas.mp4 63.6 MB
  • 17. GenAI for Time Series Amazon Chronos/3. Amazon Chronos Architecture.mp4 63.1 MB
  • 15. N-BEATS/13. Python - Parameter Tuning.mp4 62.4 MB
  • 12. RNN - LSTM/6. Python - EDA.mp4 62.3 MB
  • 12. RNN - LSTM/21. Python - Predicting The Future.mp4 62.0 MB
  • 04. Exponential Smoothing & Holt-Winters/5. Python - Exploratory Data Analysis.mp4 61.7 MB
  • 12. RNN - LSTM/1. Game Plan for LSTM.mp4 61.5 MB
  • 18. Amazon AutoGluon/3. Python - Libraries and Data.mp4 61.4 MB
  • 18. Amazon AutoGluon/2. Introduction to Amazon AutoGluon and Presets.mp4 61.2 MB
  • 04. Exponential Smoothing & Holt-Winters/11. Python - Double Exponential Smoothing.mp4 60.0 MB
  • 12. RNN - LSTM/28. Python - Daily Seasonality.mp4 59.9 MB
  • 13. Temporal Fusion Transformers (TFT)/15. Python - Visualizing the Cross-Validation Results.mp4 59.4 MB
  • 08. (Facebook) Prophet/2. Structural Time Series and Prophet.mp4 58.1 MB
  • 25. Pandas Challenge/3. Python - Sorting and Filtering Data.mp4 57.8 MB
  • 22. Python Intermediate/33. Pythol Solutions Fahrenheit to Celsius.mp4 57.6 MB
  • 24. Pandas/9. Python Solutions Sorting and Filtering Data with Pandas.mp4 57.5 MB
  • 22. Python Intermediate/19. EXERCISE Magical Pet Dictionary.mp4 57.2 MB
  • 12. RNN - LSTM/29. Python - Time Covariates, Scaling and Time Steps.mp4 55.5 MB
  • 03. Introduction to Time Series Forecasting/5. Python - Exploratory Data Analysis.mp4 55.3 MB
  • 10. Linkedin Silverkite/16. Python - Regressors, Lagged Regressors and Autoregression.mp4 54.6 MB
  • 04. Exponential Smoothing & Holt-Winters/9. Python - Simple Exponential Smoothing.mp4 54.2 MB
  • 04. Exponential Smoothing & Holt-Winters/16. Python - Predicting The Future.mp4 54.1 MB
  • 08. (Facebook) Prophet/16. Python - Parameter Tuning Set Up.mp4 53.8 MB
  • 03. Introduction to Time Series Forecasting/9. Python - Seasonal Plots.mp4 53.5 MB
  • 22. Python Intermediate/23. EXERCISE Sum of Numbers.mp4 52.7 MB
  • 12. RNN - LSTM/7. Python - Time Series Objects.mp4 52.4 MB
  • 06. ARIMA, SARIMA and SARIMAX/18. Python - Setting the Parameters.mp4 51.7 MB
  • 21. Python Essentials/32. Python Solutions If-else conditions.mp4 51.6 MB
  • 17. GenAI for Time Series Amazon Chronos/2. Introduction to Amazon Chronos.mp4 51.1 MB
  • 22. Python Intermediate/37. Limitless, by Jim Kwik.mp4 50.8 MB
  • 15. N-BEATS/2. Introduction to N-BEATS.mp4 50.2 MB
  • 21. Python Essentials/3. Python - Print Function.mp4 49.5 MB
  • 15. N-BEATS/8. N-BEATS Model Parameters.mp4 48.9 MB
  • 19. CAPSTONE PROJECT Build an Automated Time Series Forecasting Model/1. Project Presentation Build an Automated Time Series Forecasting Model.mp4 48.8 MB
  • 03. Introduction to Time Series Forecasting/6. Python - Data Visualization.mp4 47.4 MB
  • 22. Python Intermediate/13. Python Randomization.mp4 47.4 MB
  • 24. Pandas/14. Python Solutions Data Cleaning and Preparation.mp4 46.6 MB
  • 12. RNN - LSTM/2. Simple Neural Network.mp4 44.6 MB
  • 10. Linkedin Silverkite/10. Python - Growth terms.mp4 44.1 MB
  • 03. Introduction to Time Series Forecasting/12. Python - Auto-correlation.mp4 43.7 MB
  • 10. Linkedin Silverkite/18. Ridge.mp4 43.7 MB
  • 22. Python Intermediate/7. Python - Lists.mp4 43.0 MB
  • 02. PART 1 - TIME SERIES ANALYSIS/1. Time Series Analysis Overview.mp4 42.9 MB
  • 22. Python Intermediate/27. Python Functions.mp4 42.7 MB
  • 18. Amazon AutoGluon/1. Game Plan for Amazon AutoGluon.mp4 42.7 MB
  • 22. Python Intermediate/15. Python Solutions Pick My Next Movie.mp4 42.2 MB
  • 22. Python Intermediate/24. EXERCISE Count the Number of Characters.mp4 42.2 MB
  • 04. Exponential Smoothing & Holt-Winters/4. Python - Data Processing.mp4 42.0 MB
  • 12. RNN - LSTM/30. Python - LSTM Model and Cross-Validation with Multiple Series.mp4 41.6 MB
  • 15. N-BEATS/10. Python - Cross-Validation.mp4 40.8 MB
  • 08. (Facebook) Prophet/20. Python - Tuned Prophet Model.mp4 40.3 MB
  • 13. Temporal Fusion Transformers (TFT)/10. Python - Scaling.mp4 39.9 MB
  • 06. ARIMA, SARIMA and SARIMAX/21. Python - Predicting The Future Set Up.mp4 39.9 MB
  • 03. Introduction to Time Series Forecasting/15. Python - Building a Useful Function Script.mp4 39.5 MB
  • 10. Linkedin Silverkite/12. Python - Seasonality.mp4 39.4 MB
  • 10. Linkedin Silverkite/14. Python - Changepoints.mp4 38.1 MB
  • 15. N-BEATS/7. Python - Scaling.mp4 37.9 MB
  • 04. Exponential Smoothing & Holt-Winters/13. Python - Triple Exponential Smoothing aka Holt-Winters.mp4 37.6 MB
  • 25. Pandas Challenge/2. Python - Importing Data.mp4 37.6 MB
  • 12. RNN - LSTM/4. LSTM.mp4 37.2 MB
  • 21. Python Essentials/8. Python Solutions Print Function.mp4 37.1 MB
  • 21. Python Essentials/14. Python Variable Types.mp4 36.7 MB
  • 06. ARIMA, SARIMA and SARIMAX/22. Python - Predicting The Future.mp4 36.3 MB
  • 10. Linkedin Silverkite/8. Model Components.mp4 36.0 MB
  • 13. Temporal Fusion Transformers (TFT)/16. Random vs Complete Parameter Tuning.mp4 35.7 MB
  • 04. Exponential Smoothing & Holt-Winters/14. Measuring Errors for Time Series Forecasting.mp4 35.6 MB
  • 10. Linkedin Silverkite/19. Gradient Boosting - Boosting.mp4 35.4 MB
  • 12. RNN - LSTM/23. M4 Data set.mp4 34.9 MB
  • 14. CAPSTONE PROJECT Multiple Series with TFT/3. Python Solutions - Cross-Validation.mp4 34.8 MB
  • 22. Python Intermediate/3. Python While Loops.mp4 33.6 MB
  • 15. N-BEATS/1. Game plan for N-BEATS.mp4 32.2 MB
  • 06. ARIMA, SARIMA and SARIMAX/20. Python - Parameter Tuning Results.mp4 32.0 MB
  • 17. GenAI for Time Series Amazon Chronos/6. Amazon Chronos Parameters.mp4 31.7 MB
  • 24. Pandas/2. Pandas Overview.mp4 31.4 MB
  • 13. Temporal Fusion Transformers (TFT)/11. TFT Model Parameters.mp4 31.2 MB
  • 08. (Facebook) Prophet/3. CASE STUDY BRIEFING Bike Sharing.mp4 30.7 MB
  • 20. APPENDIX - Python for Data Analysis Course/1. Python for Data Analysis Overview.mp4 30.6 MB
  • 10. Linkedin Silverkite/11. Types of Seasonality.mp4 30.6 MB
  • 22. Python Intermediate/18. Python Dictionaries.mp4 30.5 MB
  • 07. PART 2 MODERN TIME SERIES FORECASTING/1. Modern Time Series Forecasting Overview.mp4 30.4 MB
  • 21. Python Essentials/30. Python If-else Conditions.mp4 30.4 MB
  • 03. Introduction to Time Series Forecasting/14. Python - Partial Auto-Correlation.mp4 30.4 MB
  • 21. Python Essentials/16. Python Solutions Variable Types.mp4 30.3 MB
  • 15. N-BEATS/6. Python - Past Covariates.mp4 30.2 MB
  • 21. Python Essentials/18. Python Arithmetic Operators.mp4 29.8 MB
  • 12. RNN - LSTM/11. Activation Functions.mp4 29.7 MB
  • 23. CAPSTONE PROJECT Virtual Escape Game/1. Project Presentation Virtual Escape Game.mp4 29.6 MB
  • 13. Temporal Fusion Transformers (TFT)/8. Python - Past Covariates.mp4 29.6 MB
  • 15. N-BEATS/17. N-Beats Pros and Cons.mp4 29.6 MB
  • 01. Time Series Analysis and Forecasting with Python/4. Diogo's Introduction and Background.mp4 29.4 MB
  • 01. Time Series Analysis and Forecasting with Python/5. Unlimited Updates and Enhancements 2025.mp4 29.2 MB
  • 06. ARIMA, SARIMA and SARIMAX/6. Integrated.mp4 28.7 MB
  • 18. Amazon AutoGluon/10. Amazon AutoGluon Recap Key Learning.mp4 28.5 MB
  • 03. Introduction to Time Series Forecasting/8. Seasonal Decomposition.mp4 28.2 MB
  • 08. (Facebook) Prophet/9. Prophet Model Parameters.mp4 28.1 MB
  • 06. ARIMA, SARIMA and SARIMAX/10. AIC and BIC.mp4 27.8 MB
  • 21. Python Essentials/10. Python Input Function.mp4 27.8 MB
  • 04. Exponential Smoothing & Holt-Winters/12. Triple Exponential Smoothing aka Holt-Winters.mp4 26.9 MB
  • 06. ARIMA, SARIMA and SARIMAX/2. CASE STUDY BRIEFING Predicting Daily Revenues.mp4 26.6 MB
  • 04. Exponential Smoothing & Holt-Winters/18. Python - Working on the Useful Code Script.mp4 26.6 MB
  • 08. (Facebook) Prophet/1. Game Plan for Facebook Prophet.mp4 26.2 MB
  • 06. ARIMA, SARIMA and SARIMAX/5. Auto-Regressive.mp4 25.6 MB
  • 21. Python Essentials/29. If-else Conditions.mp4 25.6 MB
  • 13. Temporal Fusion Transformers (TFT)/1. Game Plan for TFT.mp4 25.5 MB
  • 22. Python Intermediate/11. Python Solutions Fibonacci Numbers.mp4 25.2 MB
  • 03. Introduction to Time Series Forecasting/3. Python - Libraries and Data.mp4 24.8 MB
  • 04. Exponential Smoothing & Holt-Winters/8. Simple Exponential Smoothing.mp4 24.7 MB
  • 14. CAPSTONE PROJECT Multiple Series with TFT/1. Project Presentation Multiple Series with TFT.mp4 24.1 MB
  • 15. N-BEATS/18. What did we learn with N-Beats.mp4 24.1 MB
  • 22. Python Intermediate/9. Python Solutions Expense Report.mp4 23.9 MB
  • 11. PART 3 - DEEP LEARNING FOR TIME SERIES FORECASTING/1. Deep Learning for Time Series Forecasting Overview.mp4 23.6 MB
  • 22. Python Intermediate/12. Randomization.mp4 23.4 MB
  • 21. Python Essentials/17. Arithmetic Operators.mp4 23.3 MB
  • 22. Python Intermediate/31. Python Solutions Counting Vowels.mp4 23.1 MB
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