Udemy - Financial Engineering and Artificial Intelligence in Python

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[Tutorialsplanet.NET] Udemy - Financial Engineering and Artificial Intelligence in Python 1. Welcome
  • 1. Introduction and Outline.mp4 (46.8 MB)
  • 1. Introduction and Outline.srt (9.6 KB)
  • 2. Where to get the code.mp4 (44.2 MB)
  • 2. Where to get the code.srt (12.4 KB)
  • 2.1 Github Link.html (0.1 KB)
  • 3. Scope of the course.mp4 (24.4 MB)
  • 3. Scope of the course.srt (5.2 KB)
  • 4. How to Practice.mp4 (24.5 MB)
  • 4. How to Practice.srt (5.2 KB)
  • 5. Warmup (Optional).mp4 (23.2 MB)
  • 5. Warmup (Optional).srt (6.1 KB)
  • [Tutorialsplanet.NET].url (0.1 KB)
10. Course Summary and Common Questions
  • 1. Trading APIs and Deploying Your Strategy in the Real World.mp4 (31.9 MB)
  • 1. Trading APIs and Deploying Your Strategy in the Real World.srt (7.6 KB)
  • 2. High Frequency Trading (HFT).mp4 (22.0 MB)
  • 2. High Frequency Trading (HFT).srt (5.3 KB)
11. Extras
  • 1. Colab Notebooks.html (0.3 KB)
  • 2. VIP Finance Enthusiasts, Beware of Marketers!.mp4 (13.5 MB)
  • 2. VIP Finance Enthusiasts, Beware of Marketers!.srt (2.8 KB)
  • [Tutorialsplanet.NET].url (0.1 KB)
12. Setting Up Your Environment FAQ
  • 1. Anaconda Environment Setup.mp4 (180.8 MB)
  • 1. Anaconda Environment Setup.srt (19.7 KB)
  • 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 (150.6 MB)
  • 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt (14.1 KB)
13. Extra Help With Python Coding for Beginners FAQ
  • 1. How to Code by Yourself (part 1).mp4 (71.8 MB)
  • 1. How to Code by Yourself (part 1).srt (22.6 KB)
  • 2. How to Code by Yourself (part 2).mp4 (49.2 MB)
  • 2. How to Code by Yourself (part 2).srt (13.2 KB)
  • 3. Proof that using Jupyter Notebook is the same as not using it.mp4 (69.4 MB)
  • 3. Proof that using Jupyter Notebook is the same as not using it.srt (14.0 KB)
14. Effective Learning Strategies for Machine Learning FAQ
  • 1. How to Succeed in this Course (Long Version).mp4 (35.2 MB)
  • 1. How to Succeed in this Course (Long Version).srt (14.7 KB)
  • 2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 (105.6 MB)
  • 2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt (31.9 KB)
  • 3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 (79.6 MB)
  • 3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt (16.8 KB)
  • 4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 (108.2 MB)
  • 4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt (23.5 KB)
15. Appendix FAQ Finale
  • 1. What is the Appendix.mp4 (16.4 MB)
  • 1. What is the Appendix.srt (3.8 KB)
  • 2. BONUS Lecture.mp4 (37.8 MB)
  • 2. BONUS Lecture.srt (7.8 KB)
2. Financial Basics
  • 1. Financial Basics Section Introduction.mp4 (29.0 MB)
  • 1. Financial Basics Section Introduction.srt (7.4 KB)
  • 10. Adjusted Close (Code).mp4 (20.9 MB)
  • 10. Adjusted Close (Code).srt (4.6 KB)
  • 11. Back to Returns (Code).mp4 (45.7 MB)
  • 11. Back to Returns (Code).srt (9.1 KB)
  • 12. QQ-Plots.mp4 (20.7 MB)
  • 12. QQ-Plots.srt (7.2 KB)
  • 13. QQ-Plots (Code).mp4 (35.3 MB)
  • 13. QQ-Plots (Code).srt (9.9 KB)
  • 14. The t-Distribution.mp4 (19.7 MB)
  • 14. The t-Distribution.srt (5.1 KB)
  • 15. The t-Distribution (Code).mp4 (50.7 MB)
  • 15. The t-Distribution (Code).srt (10.5 KB)
  • 16. Skewness and Kurtosis.mp4 (34.6 MB)
  • 16. Skewness and Kurtosis.srt (10.4 KB)
  • 17. Confidence Intervals.mp4 (38.8 MB)
  • 17. Confidence Intervals.srt (13.7 KB)
  • 18. Confidence Intervals (Code).mp4 (12.3 MB)
  • 18. Confidence Intervals (Code).srt (2.8 KB)
  • 19. Statistical Testing.mp4 (60.7 MB)
  • 19. Statistical Testing.srt (20.8 KB)
  • 2. Getting Financial Data.mp4 (41.9 MB)
  • 2. Getting Financial Data.srt (9.9 KB)
  • 20. Statistical Testing (Code).mp4 (41.9 MB)
  • 20. Statistical Testing (Code).srt (9.1 KB)
  • 21. Covariance and Correlation.mp4 (32.9 MB)
  • 21. Covariance and Correlation.srt (10.8 KB)
  • 22. Covariance and Correlation (Code).mp4 (38.9 MB)
  • 22. Covariance and Correlation (Code).srt (7.1 KB)
  • 23. Alpha and Beta.mp4 (28.8 MB)
  • 23. Alpha and Beta.srt (9.3 KB)
  • 24. Alpha and Beta (Code).mp4 (45.8 MB)
  • 24. Alpha and Beta (Code).srt (10.4 KB)
  • 25. Mixture of Gaussians.mp4 (29.3 MB)
  • 25. Mixture of Gaussians.srt (9.2 KB)
  • 26. Mixture of Gaussians (Code).mp4 (33.5 MB)
  • 26. Mixture of Gaussians (Code).srt (8.2 KB)
  • 27. Volatility Clustering.mp4 (18.5 MB)
  • 27. Volatility Clustering.srt (3.9 KB)
  • 28. Price Simulation.mp4 (12.0 MB)
  • 28. Price Simulation.srt (4.0 KB)
  • 29. Price Simulation (Code).mp4 (12.2 MB)
  • 29. Price Simulation (Code).srt (3.1 KB)
  • 3. Getting Financial Data (Code).mp4 (62.6 MB)
  • 3. Getting Financial Data (Code).srt (9.5 KB)
  • 30. Financial Basics Section Summary.mp4 (10.0 MB)
  • 30. Financial Basics Section Summary.srt (3.1 KB)
  • 31. Suggestion Box.mp4 (16.1 MB)
  • 31. Suggestion Box.srt (4.7 KB)
  • 4. Understanding Financial Data.mp4 (28.5 MB)
  • 4. Understanding Financial Data.srt (6.6 KB)
  • 5. Understanding Financial Data (Code).mp4 (75.5 MB)
  • 5. Understanding Financial Data (Code).srt (15.1 KB)
  • 6. Dealing with Missing Data.mp4 (28.2 MB)
  • 6. Dealing with Missing Data.srt (7.8 KB)
  • 7. Dealing with Missing Data (Code).mp4 (37.7 MB)
  • 7. Dealing with Missing Data (Code).srt (8.9 KB)
  • 8. Returns.mp4 (29.2 MB)
  • 8. Returns.srt (11.7 KB)
  • 9. Adjusted Close, Stock Splits, and Dividends.mp4 (47.4 MB)
  • 9. Adjusted Close, Stock Splits,

Description

Udemy - Financial Engineering and Artificial Intelligence in Python

Have you ever thought about what would happen if you combined the power of machine learning and artificial intelligence with financial engineering?

Today, you can stop imagining, and start doing.

This course will teach you the core fundamentals of financial engineering, with a machine learning twist.

We will cover must-know topics in financial engineering, such as:

Exploratory data analysis, significance testing, correlations, alpha and beta
Time series analysis, simple moving average, exponentially-weighted moving average
Holt-Winters exponential smoothing model
ARIMA and SARIMA
For more Udemy Courses: https://tutorialsplanet.net



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Udemy - Financial Engineering and Artificial Intelligence in Python

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6.1 GB
seeders:4
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Udemy - Financial Engineering and Artificial Intelligence in Python

Torrent hash: D26B2DDF27C858A1947DDC8125EF332FF618A4F0