[Udemy] Financial Engineering and Artificial Intelligence in Python (2020) [En]

Creation Time	Dec. 16, 2023, 9:40 p.m.
Last Access Time	Nov. 5, 2024, 9:08 p.m.
File Size	6.1 GB
Keywords	and En Financial Python Intelligence Artificial Udemy Engineering 2020 in
Total Requests	62
Total Files	273
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

11. Setting Up Your Environment FAQ/1. Windows-Focused Environment Setup 2018.mp4 180.7 MB
11. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 150.6 MB
3. Time Series Analysis/18. ARIMA in Code (pt 1).mp4 135.5 MB
3. Time Series Analysis/28. ARIMA in Code (pt 3).mp4 112.0 MB
3. Time Series Analysis/27. ARIMA in Code (pt 2).mp4 109.7 MB
13. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 108.2 MB
13. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 105.7 MB
6. VIP The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4 105.1 MB
7. VIP Reinforcement Learning for Algorithmic Trading/5. Q-Learning for Algorithmic Trading in Code.mp4 103.1 MB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/5. HMM for Modeling Volatility Clustering in Code.mp4 102.0 MB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/4. Statistical Factor Models (Code).mp4 101.1 MB
4. Portfolio Optimization and CAPM/8. Visualizing Random Portfolios and Monte Carlo Simulation (pt 2).mp4 88.7 MB
13. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 79.6 MB
2. Financial Basics/5. Understanding Financial Data (Code).mp4 75.6 MB
4. Portfolio Optimization and CAPM/7. Visualizing Random Portfolios and Monte Carlo Simulation (pt 1).mp4 73.6 MB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/3. Statistical Factor Models (Advanced).mp4 73.2 MB
12. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).mp4 71.9 MB
3. Time Series Analysis/3. Random Walk Hypothesis.mp4 71.4 MB
5. VIP Algorithmic Trading/6. Machine Learning-Based Trading Strategy in Code.mp4 69.5 MB
12. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.mp4 69.5 MB
5. VIP Algorithmic Trading/4. Trend-Following Strategy in Code (pt 2).mp4 69.1 MB
6. VIP The Basics of Reinforcement Learning/11. Q-Learning.mp4 67.0 MB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/4. HMM Tasks and the Viterbi Algorithm.mp4 65.0 MB
3. Time Series Analysis/20. Stationarity Code.mp4 64.6 MB
5. VIP Algorithmic Trading/3. Trend-Following Strategy in Code (pt 1).mp4 63.6 MB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/1. Statistical Factor Models (Beginner).mp4 63.5 MB
2. Financial Basics/3. Getting Financial Data (Code).mp4 62.7 MB
2. Financial Basics/19. Statistical Testing.mp4 60.7 MB
3. Time Series Analysis/10. Simple Exponential Smoothing for Forecasting (Code).mp4 59.1 MB
6. VIP The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 57.2 MB
5. VIP Algorithmic Trading/2. Trend-Following Strategy.mp4 55.9 MB
7. VIP Reinforcement Learning for Algorithmic Trading/2. Trend-Following Strategy Revisited (Code).mp4 55.7 MB
3. Time Series Analysis/6. Simple Moving Average (Code).mp4 55.6 MB
3. Time Series Analysis/2. Efficient Market Hypothesis.mp4 54.7 MB
3. Time Series Analysis/8. Exponentially-Weighted Moving Average (Code).mp4 54.3 MB
3. Time Series Analysis/15. Autoregressive Models - AR(p).mp4 53.7 MB
4. Portfolio Optimization and CAPM/13. Mean-Variance Optimization And The Efficient Frontier in Code.mp4 53.4 MB
3. Time Series Analysis/14. Holt-Winters (Code).mp4 52.5 MB
4. Portfolio Optimization and CAPM/20. Capital Asset Pricing Model (CAPM).mp4 52.2 MB
3. Time Series Analysis/19. Stationarity.mp4 51.0 MB
2. Financial Basics/15. The t-Distribution (Code).mp4 50.8 MB
6. VIP The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4 50.7 MB
7. VIP Reinforcement Learning for Algorithmic Trading/1. Trend-Following Strategy with Reinforcement Learning API.mp4 49.6 MB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/1. Why Sequence Models (pt 1).mp4 49.5 MB
12. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).mp4 49.2 MB
3. Time Series Analysis/13. Holt-Winters (Theory).mp4 48.9 MB
3. Time Series Analysis/29. ACF and PACF for Stock Returns.mp4 48.7 MB
4. Portfolio Optimization and CAPM/21. Problems with Markowitz Portfolio Theory and Robust Estimation.mp4 48.1 MB
6. VIP The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp4 47.9 MB
2. Financial Basics/9. Adjusted Close, Stock Splits, and Dividends.mp4 47.4 MB
3. Time Series Analysis/26. Model Selection, AIC and BIC.mp4 47.3 MB
1. Welcome/1. Introduction and Outline.mp4 46.9 MB
2. Financial Basics/24. Alpha and Beta (Code).mp4 45.8 MB
2. Financial Basics/11. Back to Returns (Code).mp4 45.7 MB
6. VIP The Basics of Reinforcement Learning/3. States, Actions, Rewards, Policies.mp4 44.3 MB
1. Welcome/2. Where to get the code.mp4 44.3 MB
4. Portfolio Optimization and CAPM/17. Maximum Sharpe Ratio in Code.mp4 43.6 MB
6. VIP The Basics of Reinforcement Learning/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4 42.8 MB
3. Time Series Analysis/17. ARIMA.mp4 42.7 MB
3. Time Series Analysis/23. ACF and PACF in Code (pt 1).mp4 42.3 MB
2. Financial Basics/20. Statistical Testing (Code).mp4 41.9 MB
2. Financial Basics/2. Getting Financial Data.mp4 41.8 MB
6. VIP The Basics of Reinforcement Learning/10. Epsilon-Greedy.mp4 41.7 MB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/2. Why Sequence Models (pt 2).mp4 41.1 MB
6. VIP The Basics of Reinforcement Learning/1. Reinforcement Learning Section Introduction.mp4 40.8 MB
3. Time Series Analysis/25. Auto ARIMA and SARIMAX.mp4 40.6 MB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/2. Statistical Factor Models (Intermediate).mp4 40.6 MB
6. VIP The Basics of Reinforcement Learning/12. How to Learn Reinforcement Learning.mp4 40.4 MB
3. Time Series Analysis/30. Forecasting.mp4 39.2 MB
2. Financial Basics/22. Covariance and Correlation (Code).mp4 39.0 MB
2. Financial Basics/17. Confidence Intervals.mp4 38.8 MB
14. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 37.9 MB
4. Portfolio Optimization and CAPM/18. Portfolio with a Risk-Free Asset and Tangency Portfolio.mp4 37.8 MB
3. Time Series Analysis/7. Exponentially-Weighted Moving Average (Theory).mp4 37.8 MB
2. Financial Basics/7. Dealing with Missing Data (Code).mp4 37.7 MB
4. Portfolio Optimization and CAPM/16. Sharpe Ratio.mp4 37.6 MB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/3. HMM Parameters.mp4 37.4 MB
3. Time Series Analysis/21. ACF (Autocorrelation Function).mp4 37.4 MB
4. Portfolio Optimization and CAPM/5. Describing a Portfolio (pt 1).mp4 36.6 MB
3. Time Series Analysis/9. Simple Exponential Smoothing for Forecasting (Theory).mp4 36.3 MB
3. Time Series Analysis/24. ACF and PACF in Code (pt 2).mp4 35.4 MB
2. Financial Basics/13. QQ-Plots (Code).mp4 35.3 MB
13. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).mp4 35.2 MB
2. Financial Basics/16. Skewness and Kurtosis.mp4 34.7 MB
2. Financial Basics/26. Mixture of Gaussians (Code).mp4 33.5 MB
5. VIP Algorithmic Trading/5. Machine Learning-Based Trading Strategy.mp4 33.3 MB
4. Portfolio Optimization and CAPM/4. Why Diversify.mp4 33.2 MB
5. VIP Algorithmic Trading/8. Using a Random Forest Classifier for Machine Learning-Based Trading.mp4 33.0 MB
3. Time Series Analysis/11. Holt's Linear Trend Model (Theory).mp4 32.9 MB
2. Financial Basics/21. Covariance and Correlation.mp4 32.9 MB
6. VIP The Basics of Reinforcement Learning/7. What does it mean to “learn”.mp4 32.7 MB
4. Portfolio Optimization and CAPM/9. Maximum and Minimum Portfolio Return.mp4 32.7 MB
7. VIP Reinforcement Learning for Algorithmic Trading/4. Representing States.mp4 32.6 MB
3. Time Series Analysis/1. Time Series Analysis Section Introduction.mp4 31.8 MB
4. Portfolio Optimization and CAPM/11. Mean-Variance Optimization.mp4 31.6 MB
3. Time Series Analysis/4. The Naive Forecast.mp4 31.0 MB
4. Portfolio Optimization and CAPM/12. The Efficient Frontier.mp4 30.7 MB
4. Portfolio Optimization and CAPM/3. What is Risk.mp4 30.5 MB
5. VIP Algorithmic Trading/9. Algorithmic Trading Section Summary.mp4 30.0 MB
7. VIP Reinforcement Learning for Algorithmic Trading/3. Q-Learning in an Algorithmic Trading Context.mp4 29.7 MB
2. Financial Basics/25. Mixture of Gaussians.mp4 29.4 MB
2. Financial Basics/8. Returns.mp4 29.2 MB
2. Financial Basics/1. Financial Basics Section Introduction.mp4 28.9 MB
2. Financial Basics/23. Alpha and Beta.mp4 28.8 MB
2. Financial Basics/4. Understanding Financial Data.mp4 28.5 MB
2. Financial Basics/6. Dealing with Missing Data.mp4 28.3 MB
4. Portfolio Optimization and CAPM/10. Maximum and Minimum Portfolio Return in Code.mp4 28.0 MB
3. Time Series Analysis/22. PACF (Partial Autocorrelation Funtion).mp4 26.2 MB
5. VIP Algorithmic Trading/7. Classification-Based Trading Strategy in Code.mp4 25.1 MB
1. Welcome/4. How to Practice.mp4 24.6 MB
4. Portfolio Optimization and CAPM/1. Portfolio Optimization Section Introduction.mp4 24.3 MB
1. Welcome/3. Scope of the course.mp4 23.6 MB
6. VIP The Basics of Reinforcement Learning/5. The Return.mp4 23.6 MB
4. Portfolio Optimization and CAPM/6. Describing a Portfolio (pt 2).mp4 22.8 MB
2. Financial Basics/10. Adjusted Close (Code).mp4 20.9 MB
2. Financial Basics/12. QQ-Plots.mp4 20.7 MB
3. Time Series Analysis/5. Simple Moving Average (Theory).mp4 19.9 MB
1. Welcome/5. Warmup (Optional).mp4 19.7 MB
2. Financial Basics/14. The t-Distribution.mp4 19.7 MB
3. Time Series Analysis/12. Holt's Linear Trend Model (Code).mp4 18.6 MB
2. Financial Basics/27. Volatility Clustering.mp4 18.5 MB
3. Time Series Analysis/31. Time Series Analysis Section Conclusion.mp4 18.2 MB
4. Portfolio Optimization and CAPM/22. Portfolio Optimization Section Conclusion.mp4 17.4 MB
14. Appendix FAQ Finale/1. What is the Appendix.mp4 16.4 MB
2. Financial Basics/31. Suggestion Box.mp4 16.1 MB
5. VIP Algorithmic Trading/1. Algorithmic Trading Section Introduction.mp4 14.0 MB
4. Portfolio Optimization and CAPM/15. Global Minimum Variance (GMV) Portfolio in Code.mp4 13.6 MB
4. Portfolio Optimization and CAPM/19. Risk-Free Asset and Tangency Portfolio in Code.mp4 13.6 MB
10. Extras/2. VIP Finance Enthusiasts, Beware of Marketers!.mp4 13.5 MB
2. Financial Basics/18. Confidence Intervals (Code).mp4 12.3 MB
2. Financial Basics/29. Price Simulation (Code).mp4 12.2 MB
2. Financial Basics/28. Price Simulation.mp4 12.0 MB
4. Portfolio Optimization and CAPM/2. The S&P500.mp4 11.7 MB
3. Time Series Analysis/16. Moving Average Models - MA(q).mp4 10.9 MB
2. Financial Basics/30. Financial Basics Section Summary.mp4 10.0 MB
4. Portfolio Optimization and CAPM/14. Global Minimum Variance (GMV) Portfolio.mp4 8.6 MB
13. 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
6. VIP The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.srt 25.9 KB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/3. Statistical Factor Models (Advanced).srt 25.4 KB
3. Time Series Analysis/18. ARIMA in Code (pt 1).srt 24.5 KB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/5. HMM for Modeling Volatility Clustering in Code.srt 24.1 KB
13. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt 23.5 KB
12. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).srt 22.6 KB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/1. Statistical Factor Models (Beginner).srt 21.2 KB
2. Financial Basics/19. Statistical Testing.srt 20.8 KB
11. Setting Up Your Environment FAQ/1. Windows-Focused Environment Setup 2018.srt 19.7 KB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/4. HMM Tasks and the Viterbi Algorithm.srt 19.2 KB
3. Time Series Analysis/3. Random Walk Hypothesis.srt 19.1 KB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/1. Why Sequence Models (pt 1).srt 18.7 KB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/4. Statistical Factor Models (Code).srt 18.6 KB
7. VIP Reinforcement Learning for Algorithmic Trading/5. Q-Learning for Algorithmic Trading in Code.srt 18.5 KB
4. Portfolio Optimization and CAPM/8. Visualizing Random Portfolios and Monte Carlo Simulation (pt 2).srt 18.4 KB
3. Time Series Analysis/28. ARIMA in Code (pt 3).srt 18.1 KB
6. VIP The Basics of Reinforcement Learning/11. Q-Learning.srt 18.0 KB
5. VIP Algorithmic Trading/2. Trend-Following Strategy.srt 18.0 KB
13. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt 16.8 KB
3. Time Series Analysis/15. Autoregressive Models - AR(p).srt 16.7 KB
3. Time Series Analysis/27. ARIMA in Code (pt 2).srt 16.7 KB
3. Time Series Analysis/19. Stationarity.srt 16.3 KB
4. Portfolio Optimization and CAPM/7. Visualizing Random Portfolios and Monte Carlo Simulation (pt 1).srt 16.2 KB
2. Financial Basics/9. Adjusted Close, Stock Splits, and Dividends.srt 16.2 KB
3. Time Series Analysis/2. Efficient Market Hypothesis.srt 16.1 KB
4. Portfolio Optimization and CAPM/20. Capital Asset Pricing Model (CAPM).srt 16.0 KB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/2. Why Sequence Models (pt 2).srt 16.0 KB
7. VIP Reinforcement Learning for Algorithmic Trading/1. Trend-Following Strategy with Reinforcement Learning API.srt 15.7 KB
2. Financial Basics/5. Understanding Financial Data (Code).srt 15.1 KB
3. Time Series Analysis/13. Holt-Winters (Theory).srt 15.0 KB
6. VIP The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt 14.8 KB
13. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).srt 14.7 KB
3. Time Series Analysis/8. Exponentially-Weighted Moving Average (Code).srt 14.7 KB
3. Time Series Analysis/7. Exponentially-Weighted Moving Average (Theory).srt 14.6 KB
11. Setting Up Your Environment FAQ/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14.1 KB
12. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.srt 14.0 KB
3. Time Series Analysis/9. Simple Exponential Smoothing for Forecasting (Theory).srt 13.9 KB
3. Time Series Analysis/17. ARIMA.srt 13.8 KB
2. Financial Basics/17. Confidence Intervals.srt 13.7 KB
3. Time Series Analysis/26. Model Selection, AIC and BIC.srt 13.5 KB
12. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).srt 13.2 KB
8. VIP Statistical Factor Models and Unsupervised Machine Learning/2. Statistical Factor Models (Intermediate).srt 13.1 KB
3. Time Series Analysis/21. ACF (Autocorrelation Function).srt 13.0 KB
6. VIP The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).srt 12.7 KB
3. Time Series Analysis/10. Simple Exponential Smoothing for Forecasting (Code).srt 12.6 KB
6. VIP The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.srt 12.6 KB
4. Portfolio Optimization and CAPM/9. Maximum and Minimum Portfolio Return.srt 12.5 KB
6. VIP The Basics of Reinforcement Learning/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt 12.4 KB
4. Portfolio Optimization and CAPM/18. Portfolio with a Risk-Free Asset and Tangency Portfolio.srt 12.4 KB
1. Welcome/2. Where to get the code.srt 12.4 KB
9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/3. HMM Parameters.srt 12.4 KB
4. Portfolio Optimization and CAPM/5. Describing a Portfolio (pt 1).srt 12.3 KB
3. Time Series Analysis/25. Auto ARIMA and SARIMAX.srt 12.3 KB
4. Portfolio Optimization and CAPM/21. Problems with Markowitz Portfolio Theory and Robust Estimation.srt 12.2 KB
3. Time Series Analysis/30. Forecasting.srt 12.1 KB
5. VIP Algorithmic Trading/4. Trend-Following Strategy in Code (pt 2).srt 12.0 KB
2. Financial Basics/8. Returns.srt 11.7 KB
6. VIP The Basics of Reinforcement Learning/3. States, Actions, Rewards, Policies.srt 11.7 KB
4. Portfolio Optimization and CAPM/13. Mean-Variance Optimization And The Efficient Frontier in Code.srt 11.2 KB
2. Financial Basics/21. Covariance and Correlation.srt 10.8 KB
3. Time Series Analysis/20. Stationarity Code.srt 10.8 KB
7. VIP Reinforcement Learning for Algorithmic Trading/2. Trend-Following Strategy Revisited (Code).srt 10.5 KB
4. Portfolio Optimization and CAPM/4. Why Diversify.srt 10.5 KB
2. Financial Basics/15. The t-Distribution (Code).srt 10.5 KB
2. Financial Basics/24. Alpha and Beta (Code).srt 10.4 KB
5. VIP Algorithmic Trading/6. Machine Learning-Based Trading Strategy in Code.srt 10.4 KB
2. Financial Basics/16. Skewness and Kurtosis.srt 10.4 KB
5. VIP Algorithmic Trading/5. Machine Learning-Based Trading Strategy.srt 10.3 KB
3. Time Series Analysis/11. Holt's Linear Trend Model (Theory).srt 10.1 KB
4. Portfolio Optimization and CAPM/11. Mean-Variance Optimization.srt 10.0 KB
4. Portfolio Optimization and CAPM/16. Sharpe Ratio.srt 10.0 KB
2. Financial Basics/2. Getting Financial Data.srt 9.9 KB
2. Financial Basics/13. QQ-Plots (Code).srt 9.9 KB
3. Time Series Analysis/14. Holt-Winters (Code).srt 9.8 KB
1. Welcome/1. Introduction and Outline.srt 9.6 KB
7. VIP Reinforcement Learning for Algorithmic Trading/4. Representing States.srt 9.6 KB
4. Portfolio Optimization and CAPM/12. The Efficient Frontier.srt 9.5 KB
2. Financial Basics/3. Getting Financial Data (Code).srt 9.5 KB
3. Time Series Analysis/6. Simple Moving Average (Code).srt 9.5 KB
5. VIP Algorithmic Trading/3. Trend-Following Strategy in Code (pt 1).srt 9.4 KB
4. Portfolio Optimization and CAPM/3. What is Risk.srt 9.4 KB
3. Time Series Analysis/23. ACF and PACF in Code (pt 1).srt 9.3 KB
3. Time Series Analysis/1. Time Series Analysis Section Introduction.srt 9.3 KB
7. VIP Reinforcement Learning for Algorithmic Trading/3. Q-Learning in an Algorithmic Trading Context.srt 9.3 KB
2. Financial Basics/23. Alpha and Beta.srt 9.3 KB
3. Time Series Analysis/4. The Naive Forecast.srt 9.2 KB
2. Financial Basics/25. Mixture of Gaussians.srt 9.2 KB
2. Financial Basics/11. Back to Returns (Code).srt 9.1 KB
2. Financial Basics/20. Statistical Testing (Code).srt 9.1 KB
2. Financial Basics/7. Dealing with Missing Data (Code).srt 8.9 KB
6. VIP The Basics of Reinforcement Learning/7. What does it mean to “learn”.srt 8.9 KB
6. VIP The Basics of Reinforcement Learning/1. Reinforcement Learning Section Introduction.srt 8.7 KB
3. Time Series Analysis/29. ACF and PACF for Stock Returns.srt 8.4 KB
4. Portfolio Optimization and CAPM/17. Maximum Sharpe Ratio in Code.srt 8.3 KB
2. Financial Basics/26. Mixture of Gaussians (Code).srt 8.2 KB
3. Time Series Analysis/24. ACF and PACF in Code (pt 2).srt 8.0 KB
3. Time Series Analysis/22. PACF (Partial Autocorrelation Funtion).srt 8.0 KB
4. Portfolio Optimization and CAPM/6. Describing a Portfolio (pt 2).srt 7.9 KB
14. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material.srt 7.8 KB
2. Financial Basics/6. Dealing with Missing Data.srt 7.8 KB
6. VIP The Basics of Reinforcement Learning/12. How to Learn Reinforcement Learning.srt 7.6 KB
5. VIP Algorithmic Trading/9. Algorithmic Trading Section Summary.srt 7.6 KB
6. VIP The Basics of Reinforcement Learning/10. Epsilon-Greedy.srt 7.4 KB
2. Financial Basics/1. Financial Basics Section Introduction.srt 7.4 KB
2. Financial Basics/12. QQ-Plots.srt 7.2 KB
2. Financial Basics/22. Covariance and Correlation (Code).srt 7.1 KB
2. Financial Basics/4. Understanding Financial Data.srt 6.6 KB
6. VIP The Basics of Reinforcement Learning/5. The Return.srt 6.3 KB
4. Portfolio Optimization and CAPM/10. Maximum and Minimum Portfolio Return in Code.srt 5.8 KB
3. Time Series Analysis/5. Simple Moving Average (Theory).srt 5.7 KB
5. VIP Algorithmic Trading/8. Using a Random Forest Classifier for Machine Learning-Based Trading.srt 5.5 KB
1. Welcome/5. Warmup (Optional).srt 5.5 KB
3. Time Series Analysis/31. Time Series Analysis Section Conclusion.srt 5.3 KB
1. Welcome/4. How to Practice.srt 5.2 KB
2. Financial Basics/14. The t-Distribution.srt 5.1 KB
4. Portfolio Optimization and CAPM/1. Portfolio Optimization Section Introduction.srt 4.8 KB
1. Welcome/3. Scope of the course.srt 4.8 KB
2. Financial Basics/31. Suggestion Box.srt 4.7 KB
2. Financial Basics/10. Adjusted Close (Code).srt 4.6 KB
5. VIP Algorithmic Trading/7. Classification-Based Trading Strategy in Code.srt 4.2 KB
3. Time Series Analysis/16. Moving Average Models - MA(q).srt 4.2 KB
2. Financial Basics/28. Price Simulation.srt 4.0 KB
2. Financial Basics/27. Volatility Clustering.srt 3.9 KB
14. Appendix FAQ Finale/1. What is the Appendix.srt 3.8 KB
5. VIP Algorithmic Trading/1. Algorithmic Trading Section Introduction.srt 3.6 KB
3. Time Series Analysis/12. Holt's Linear Trend Model (Code).srt 3.4 KB
4. Portfolio Optimization and CAPM/2. The S&P500.srt 3.3 KB
2. Financial Basics/29. Price Simulation (Code).srt 3.1 KB
2. Financial Basics/30. Financial Basics Section Summary.srt 3.1 KB
4. Portfolio Optimization and CAPM/22. Portfolio Optimization Section Conclusion.srt 2.9 KB
2. Financial Basics/18. Confidence Intervals (Code).srt 2.8 KB
10. Extras/2. VIP Finance Enthusiasts, Beware of Marketers!.srt 2.8 KB
4. Portfolio Optimization and CAPM/19. Risk-Free Asset and Tangency Portfolio in Code.srt 2.6 KB
4. Portfolio Optimization and CAPM/15. Global Minimum Variance (GMV) Portfolio in Code.srt 2.5 KB
4. Portfolio Optimization and CAPM/14. Global Minimum Variance (GMV) Portfolio.srt 2.3 KB
10. Extras/1. Colab Notebooks.html 256 bytes

[Udemy] Financial Engineering and Artificial Intelligence in Python (2020) [En]

File List

Download Torrent

Related Resources

Copyright Infringement