FreeCourseSite com Udemy - End-to-end Machine Learning Time-series analysis

1. 1. Introduction/1. Introduction.mp485.76MB
2. 2. Get your data/1. Ask a sharp question.mp449.86MB
3. 2. Get your data/2. Get weather data.mp412.62MB
4. 2. Get your data/3. Inspect the data.mp4135.48MB
5. 2. Get your data/4. Load the data.mp411.29MB
6. 2. Get your data/5. Convert the data to lists.mp442.62MB
7. 2. Get your data/6. Replace missing data with NaNs.mp439.02MB
8. 2. Get your data/7. Replace NaNs with estimates.mp446.81MB
9. 3. Find your features/1. How autocorrelation works.mp449.82MB
10. 3. Find your features/2. Find the autocorrelation.mp446.46MB
11. 3. Find your features/3. Inspect the autocorrelation.mp422.43MB
12. 3. Find your features/4. Write a day-of-year calculator.mp495.79MB
13. 3. Find your features/5. Debug glitch in annual trend.mp466.8MB
14. 4. Build your model/1. Create seasonal model.mp466.07MB
15. 4. Build your model/2. Explore deseasonalized residuals.mp432.24MB
16. 4. Build your model/3. Make three-day-out predictions.mp471.8MB
17. 4. Build your model/4. Build the full model and refactor the code.mp476.96MB
18. 5. Deploy your model/1. Choose your decision criterion.mp490.67MB
19. 5. Deploy your model/2. Create a Predictor class with tests.mp463.35MB
20. 5. Deploy your model/3. Create a buy_tickets module to answer the question.mp451.45MB