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TORRENT DETAILS

[Tutorialsplanet.NET] Udemy - Financial Engineering And Artificial Intelligence In Python

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	d26b2ddf27c858a1947ddc8125ef332ff618a4f0
Size:	6.1 GB in 97 files
Release Date(s):	Torrent Release: 06-11-2021 by user
Swarm:	0 Seeds & 0 Peers
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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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FILE LIST

Filename		Size
	1. Welcome/1. Introduction and Outline.mp4	46.8 MB
	1. Welcome/1. Introduction and Outline.srt	9.6 KB
	1. Welcome/2. Where to get the code.mp4	44.2 MB
	1. Welcome/2. Where to get the code.srt	12.4 KB
	1. Welcome/2.1 Github Link.html	116 B
	1. Welcome/3. Scope of the course.mp4	24.4 MB
	1. Welcome/3. Scope of the course.srt	5.2 KB
	1. Welcome/4. How to Practice.mp4	24.5 MB
	1. Welcome/4. How to Practice.srt	5.2 KB
	1. Welcome/5. Warmup (Optional).mp4	23.2 MB
	1. Welcome/5. Warmup (Optional).srt	6.1 KB
	10. Course Summary and Common Questions/1. Trading APIs and Deploying Your Strategy in the Real World.mp4	31.9 MB
	10. Course Summary and Common Questions/1. Trading APIs and Deploying Your Strategy in the Real World.srt	7.6 KB
	10. Course Summary and Common Questions/2. High Frequency Trading (HFT).mp4	22 MB
	10. Course Summary and Common Questions/2. High Frequency Trading (HFT).srt	5.3 KB
	11. Extras/1. Colab Notebooks.html	256 B
	11. Extras/2. VIP Finance Enthusiasts, Beware of Marketers!.mp4	13.5 MB
	11. Extras/2. VIP Finance Enthusiasts, Beware of Marketers!.srt	2.8 KB
	12. Setting Up Your Environment FAQ/1. Anaconda Environment Setup.mp4	180.8 MB
	12. Setting Up Your Environment FAQ/1. Anaconda Environment Setup.srt	19.7 KB
	12. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	150.6 MB
	12. Setting Up Your Environment FAQ/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
	13. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).srt	22.6 KB
	13. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).mp4	49.2 MB
	13. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).srt	13.2 KB
	13. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.mp4	69.4 MB
	13. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.srt	14 KB
	14. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).mp4	35.2 MB
	14. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).srt	14.7 KB
	14. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	105.6 MB
	14. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt	31.9 KB
	14. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4	79.6 MB
	14. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt	16.8 KB
	14. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4	108.2 MB
	14. Effective Learning Strategies for Machine Learning FAQ/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
	15. Appendix FAQ Finale/1. What is the Appendix.srt	3.8 KB
	15. Appendix FAQ Finale/2. BONUS Lecture.mp4	37.8 MB
	15. Appendix FAQ Finale/2. BONUS Lecture.srt	7.8 KB
	2. Financial Basics/1. Financial Basics Section Introduction.mp4	29 MB
	2. Financial Basics/1. Financial Basics Section Introduction.srt	7.4 KB
	2. Financial Basics/10. Adjusted Close (Code).mp4	20.9 MB
	2. Financial Basics/10. Adjusted Close (Code).srt	4.6 KB
	2. Financial Basics/11. Back to Returns (Code).mp4	45.7 MB
	2. Financial Basics/11. Back to Returns (Code).srt	9.1 KB
	2. Financial Basics/12. QQ-Plots.mp4	20.7 MB
	2. Financial Basics/12. QQ-Plots.srt	7.2 KB
	2. Financial Basics/13. QQ-Plots (Code).mp4	35.3 MB
	2. Financial Basics/13. QQ-Plots (Code).srt	9.9 KB
	2. Financial Basics/14. The t-Distribution.mp4	19.7 MB
	2. Financial Basics/14. The t-Distribution.srt	5.1 KB
	2. Financial Basics/15. The t-Distribution (Code).mp4	50.7 MB
	2. Financial Basics/15. The t-Distribution (Code).srt	10.5 KB
	2. Financial Basics/16. Skewness and Kurtosis.mp4	34.6 MB
	2. Financial Basics/16. Skewness and Kurtosis.srt	10.4 KB
	2. Financial Basics/17. Confidence Intervals.mp4	38.8 MB
	2. Financial Basics/17. Confidence Intervals.srt	13.7 KB
	2. Financial Basics/18. Confidence Intervals (Code).mp4	12.3 MB
	2. Financial Basics/18. Confidence Intervals (Code).srt	2.8 KB
	2. Financial Basics/19. Statistical Testing.mp4	60.7 MB
	2. Financial Basics/19. Statistical Testing.srt	20.8 KB
	2. Financial Basics/2. Getting Financial Data.mp4	41.9 MB
	2. Financial Basics/2. Getting Financial Data.srt	9.9 KB
	2. Financial Basics/20. Statistical Testing (Code).mp4	41.9 MB
	2. Financial Basics/20. Statistical Testing (Code).srt	9.1 KB
	2. Financial Basics/21. Covariance and Correlation.mp4	32.9 MB
	2. Financial Basics/21. Covariance and Correlation.srt	10.8 KB
	2. Financial Basics/22. Covariance and Correlation (Code).mp4	38.9 MB
	2. Financial Basics/22. Covariance and Correlation (Code).srt	7.1 KB
	2. Financial Basics/23. Alpha and Beta.mp4	28.8 MB
	2. Financial Basics/23. Alpha and Beta.srt	9.3 KB
	2. Financial Basics/24. Alpha and Beta (Code).mp4	45.8 MB
	2. Financial Basics/24. Alpha and Beta (Code).srt	10.4 KB
	2. Financial Basics/25. Mixture of Gaussians.mp4	29.3 MB
	2. Financial Basics/25. Mixture of Gaussians.srt	9.2 KB
	2. Financial Basics/26. Mixture of Gaussians (Code).mp4	33.5 MB
	2. Financial Basics/26. Mixture of Gaussians (Code).srt	8.2 KB
	2. Financial Basics/27. Volatility Clustering.mp4	18.5 MB
	2. Financial Basics/27. Volatility Clustering.srt	3.9 KB
	2. Financial Basics/28. Price Simulation.mp4	12 MB
	2. Financial Basics/28. Price Simulation.srt	4 KB
	2. Financial Basics/29. Price Simulation (Code).mp4	12.2 MB
	2. Financial Basics/29. Price Simulation (Code).srt	3.1 KB
	2. Financial Basics/3. Getting Financial Data (Code).mp4	62.6 MB
	2. Financial Basics/3. Getting Financial Data (Code).srt	9.5 KB
	2. Financial Basics/30. Financial Basics Section Summary.mp4	10 MB
	2. Financial Basics/30. Financial Basics Section Summary.srt	3.1 KB
	2. Financial Basics/31. Suggestion Box.mp4	16.1 MB
	2. Financial Basics/31. Suggestion Box.srt	4.7 KB
	2. Financial Basics/4. Understanding Financial Data.mp4	28.5 MB
	2. Financial Basics/4. Understanding Financial Data.srt	6.6 KB
	2. Financial Basics/5. Understanding Financial Data (Code).mp4	75.5 MB
	2. Financial Basics/5. Understanding Financial Data (Code).srt	15.1 KB
	2. Financial Basics/6. Dealing with Missing Data.mp4	28.2 MB
	2. Financial Basics/6. Dealing with Missing Data.srt	7.8 KB
	2. Financial Basics/7. Dealing with Missing Data (Code).mp4	37.7 MB

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