TorBT - Torrents and Magnet Links Search Engine
Latest Searches: 钟依, mario+golf+super+rush, papi, 2k22, [ams], t.c, miitopia, девка, publicdisgrace, pokemon+scarlet

Udemy - Financial Engineering and Artificial Intelligence in Python (12.2024)

Magnet Download Download Torrent
File Name
Size
1. Welcome/1. Introduction and Outline.mp4
53 MB
1. Welcome/1. Introduction and Outline.srt
9.9 kB
1. Welcome/2. Scope of the course.mp4
27 MB
1. Welcome/2. Scope of the course.srt
5.1 kB
1. Welcome/3. How to Practice.mp4
38 MB
1. Welcome/3. How to Practice.srt
8.3 kB
1. Welcome/4. Warmup (Optional).mp4
25 MB
1. Welcome/4. Warmup (Optional).srt
6.1 kB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/1. Why Sequence Models (pt 1).mp4
49 MB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/1. Why Sequence Models (pt 1).srt
19 kB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/2. Why Sequence Models (pt 2).mp4
41 MB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/2. Why Sequence Models (pt 2).srt
16 kB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/3. HMM Parameters.mp4
37 MB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/3. HMM Parameters.srt
12 kB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/4. HMM Tasks and the Viterbi Algorithm.mp4
65 MB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/4. HMM Tasks and the Viterbi Algorithm.srt
19 kB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/5. HMM for Modeling Volatility Clustering in Code.mp4
102 MB
10. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/5. HMM for Modeling Volatility Clustering in Code.srt
24 kB
11. Course Summary and Common Questions/1. Final Thoughts and Course Summary.mp4
36 MB
11. Course Summary and Common Questions/1. Final Thoughts and Course Summary.srt
8.6 kB
11. Course Summary and Common Questions/2. Creating Your Personalized Trading Strategy.mp4
76 MB
11. Course Summary and Common Questions/2. Creating Your Personalized Trading Strategy.srt
19 kB
11. Course Summary and Common Questions/3. Applying This Course.mp4
53 MB
11. Course Summary and Common Questions/3. Applying This Course.srt
12 kB
11. Course Summary and Common Questions/4. Trading APIs and Deploying Your Strategy in the Real World.mp4
32 MB
11. Course Summary and Common Questions/4. Trading APIs and Deploying Your Strategy in the Real World.srt
7.6 kB
11. Course Summary and Common Questions/5. High Frequency Trading (HFT).mp4
22 MB
11. Course Summary and Common Questions/5. High Frequency Trading (HFT).srt
5.3 kB
11. Course Summary and Common Questions/6. The Importance of Data.mp4
52 MB
11. Course Summary and Common Questions/6. The Importance of Data.srt
13 kB
11. Course Summary and Common Questions/7. Why do I have to learn statistics to learn finance.mp4
72 MB
11. Course Summary and Common Questions/7. Why do I have to learn statistics to learn finance.srt
14 kB
11. Course Summary and Common Questions/8. Get a Plug-and-Play Trading Bot Without Math.mp4
26 MB
11. Course Summary and Common Questions/8. Get a Plug-and-Play Trading Bot Without Math.srt
7.0 kB
11. Course Summary and Common Questions/9. Slippage and Bid-Ask Spread.mp4
15 MB
11. Course Summary and Common Questions/9. Slippage and Bid-Ask Spread.srt
4.2 kB
12. Extras/1. VIP Finance Enthusiasts, Beware of Marketers!.mp4
14 MB
12. Extras/1. VIP Finance Enthusiasts, Beware of Marketers!.srt
2.8 kB
13. Setting Up Your Environment FAQ/1. Pre-Installation Check.mp4
23 MB
13. Setting Up Your Environment FAQ/1. Pre-Installation Check.srt
6.6 kB
13. Setting Up Your Environment FAQ/2. Anaconda Environment Setup.mp4
181 MB
13. Setting Up Your Environment FAQ/2. Anaconda Environment Setup.srt
20 kB
13. Setting Up Your Environment FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
151 MB
13. Setting Up Your Environment FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
14 kB
14. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).mp4
72 MB
14. Extra Help With Python Coding for Beginners FAQ/1. How to Code by Yourself (part 1).srt
23 kB
14. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).mp4
49 MB
14. Extra Help With Python Coding for Beginners FAQ/2. How to Code by Yourself (part 2).srt
13 kB
14. Extra Help With Python Coding for Beginners FAQ/3. Proof that using Jupyter Notebook is the same as not using it.mp4
69 MB
14. 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. Extra Help With Python Coding for Beginners FAQ/4. Get Your Hands Dirty, Practical Coding Experience, Data Links.mp4
44 MB
14. Extra Help With Python Coding for Beginners FAQ/4. Get Your Hands Dirty, Practical Coding Experience, Data Links.srt
12 kB
14. Extra Help With Python Coding for Beginners FAQ/4.1 Data Links.html
157 B
14. Extra Help With Python Coding for Beginners FAQ/4.2 Github Link.html
116 B
14. Extra Help With Python Coding for Beginners FAQ/5. How to use Github & Extra Coding Tips (Optional).mp4
64 MB
14. Extra Help With Python Coding for Beginners FAQ/5. How to use Github & Extra Coding Tips (Optional).srt
16 kB
15. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).mp4
35 MB
15. Effective Learning Strategies for Machine Learning FAQ/1. How to Succeed in this Course (Long Version).srt
15 kB
15. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
106 MB
15. Effective Learning Strategies for Machine Learning FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
32 kB
15. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
80 MB
15. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt
17 kB
15. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
108 MB
15. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt
24 kB
16. Appendix FAQ Finale/1. What is the Appendix.mp4
16 MB
16. Appendix FAQ Finale/1. What is the Appendix.srt
3.8 kB
16. Appendix FAQ Finale/2. BONUS.mp4
40 MB
16. Appendix FAQ Finale/2. BONUS.srt
8.1 kB
2. Getting Set Up/1. Where to get the code, notebooks, and data.mp4
27 MB
2. Getting Set Up/1. Where to get the code, notebooks, and data.srt
6.3 kB
2. Getting Set Up/1.1 Code Link.html
125 B
2. Getting Set Up/1.2 Data Links.html
157 B
2. Getting Set Up/1.3 Github Link.html
116 B
2. Getting Set Up/2. How to Succeed in This Course.mp4
16 MB
2. Getting Set Up/2. How to Succeed in This Course.srt
4.4 kB
2. Getting Set Up/3. Temporary 403 Errors.mp4
22 MB
2. Getting Set Up/3. Temporary 403 Errors.srt
3.7 kB
3. Financial Basics/1. Financial Basics Section Introduction.mp4
29 MB
3. Financial Basics/1. Financial Basics Section Introduction.srt
7.4 kB
3. Financial Basics/10. Adjusted Close (Code).mp4
21 MB
3. Financial Basics/10. Adjusted Close (Code).srt
4.6 kB
3. Financial Basics/11. Back to Returns (Code).mp4
46 MB
3. Financial Basics/11. Back to Returns (Code).srt
9.1 kB
3. Financial Basics/12. QQ-Plots.mp4
21 MB
3. Financial Basics/12. QQ-Plots.srt
7.2 kB
3. Financial Basics/13. QQ-Plots (Code).mp4
35 MB
3. Financial Basics/13. QQ-Plots (Code).srt
9.9 kB
3. Financial Basics/14. The t-Distribution.mp4
20 MB
3. Financial Basics/14. The t-Distribution.srt
5.1 kB
3. Financial Basics/15. The t-Distribution (Code).mp4
51 MB
3. Financial Basics/15. The t-Distribution (Code).srt
10 kB
3. Financial Basics/16. Skewness and Kurtosis.mp4
35 MB
3. Financial Basics/16. Skewness and Kurtosis.srt
10 kB
3. Financial Basics/17. Confidence Intervals.mp4
39 MB
3. Financial Basics/17. Confidence Intervals.srt
14 kB
3. Financial Basics/18. Confidence Intervals (Code).mp4
12 MB
3. Financial Basics/18. Confidence Intervals (Code).srt
2.8 kB
3. Financial Basics/19. Statistical Testing.mp4
61 MB
3. Financial Basics/19. Statistical Testing.srt
21 kB
3. Financial Basics/2. Getting Financial Data.mp4
42 MB
3. Financial Basics/2. Getting Financial Data.srt
9.9 kB
3. Financial Basics/20. Statistical Testing (Code).mp4
42 MB
3. Financial Basics/20. Statistical Testing (Code).srt
9.1 kB
3. Financial Basics/21. Covariance and Correlation.mp4
33 MB
3. Financial Basics/21. Covariance and Correlation.srt
11 kB
3. Financial Basics/22. Covariance and Correlation (Code).mp4
39 MB
3. Financial Basics/22. Covariance and Correlation (Code).srt
7.1 kB
3. Financial Basics/23. Alpha and Beta.mp4
29 MB
3. Financial Basics/23. Alpha and Beta.srt
9.3 kB
3. Financial Basics/24. Alpha and Beta (Code).mp4
46 MB
3. Financial Basics/24. Alpha and Beta (Code).srt
10 kB
3. Financial Basics/25. Mixture of Gaussians.mp4
29 MB
3. Financial Basics/25. Mixture of Gaussians.srt
9.2 kB
3. Financial Basics/26. Mixture of Gaussians (Code).mp4
34 MB
3. Financial Basics/26. Mixture of Gaussians (Code).srt
8.2 kB
3. Financial Basics/27. Volatility Clustering.mp4
18 MB
3. Financial Basics/27. Volatility Clustering.srt
3.9 kB
3. Financial Basics/28. Price Simulation.mp4
12 MB
3. Financial Basics/28. Price Simulation.srt
4.0 kB
3. Financial Basics/29. Price Simulation (Code).mp4
12 MB
3. Financial Basics/29. Price Simulation (Code).srt
3.1 kB
3. Financial Basics/3. Getting Financial Data (Code).mp4
63 MB
3. Financial Basics/3. Getting Financial Data (Code).srt
9.5 kB
3. Financial Basics/30. Financial Basics Section Summary.mp4
10 MB
3. Financial Basics/30. Financial Basics Section Summary.srt
3.1 kB
3. Financial Basics/31. Suggestion Box.mp4
27 MB
3. Financial Basics/31. Suggestion Box.srt
4.7 kB
3. Financial Basics/4. Understanding Financial Data.mp4
28 MB
3. Financial Basics/4. Understanding Financial Data.srt
6.6 kB
3. Financial Basics/5. Understanding Financial Data (Code).mp4
76 MB
3. Financial Basics/5. Understanding Financial Data (Code).srt
15 kB
3. Financial Basics/6. Dealing with Missing Data.mp4
28 MB
3. Financial Basics/6. Dealing with Missing Data.srt
7.8 kB
3. Financial Basics/7. Dealing with Missing Data (Code).mp4
38 MB
3. Financial Basics/7. Dealing with Missing Data (Code).srt
8.9 kB
3. Financial Basics/8. Returns.mp4
29 MB
3. Financial Basics/8. Returns.srt
12 kB
3. Financial Basics/9. Adjusted Close, Stock Splits, and Dividends.mp4
47 MB
3. Financial Basics/9. Adjusted Close, Stock Splits, and Dividends.srt
16 kB
4. Time Series Analysis/1. Time Series Analysis Section Introduction.mp4
32 MB
4. Time Series Analysis/1. Time Series Analysis Section Introduction.srt
9.3 kB
4. Time Series Analysis/10. Simple Exponential Smoothing for Forecasting (Code).mp4
59 MB
4. Time Series Analysis/10. Simple Exponential Smoothing for Forecasting (Code).srt
13 kB
4. Time Series Analysis/11. Holt's Linear Trend Model (Theory).mp4
33 MB
4. Time Series Analysis/11. Holt's Linear Trend Model (Theory).srt
10 kB
4. Time Series Analysis/12. Holt's Linear Trend Model (Code).mp4
19 MB
4. Time Series Analysis/12. Holt's Linear Trend Model (Code).srt
3.4 kB
4. Time Series Analysis/13. Holt-Winters (Theory).mp4
49 MB
4. Time Series Analysis/13. Holt-Winters (Theory).srt
15 kB
4. Time Series Analysis/14. Holt-Winters (Code).mp4
52 MB
4. Time Series Analysis/14. Holt-Winters (Code).srt
9.8 kB
4. Time Series Analysis/15. Autoregressive Models - AR(p).mp4
54 MB
4. Time Series Analysis/15. Autoregressive Models - AR(p).srt
17 kB
4. Time Series Analysis/16. Moving Average Models - MA(q).mp4
11 MB
4. Time Series Analysis/16. Moving Average Models - MA(q).srt
4.2 kB
4. Time Series Analysis/17. ARIMA.mp4
43 MB
4. Time Series Analysis/17. ARIMA.srt
14 kB
4. Time Series Analysis/18. ARIMA in Code (pt 1).mp4
135 MB
4. Time Series Analysis/18. ARIMA in Code (pt 1).srt
24 kB
4. Time Series Analysis/19. Stationarity.mp4
50 MB
4. Time Series Analysis/19. Stationarity.srt
16 kB
4. Time Series Analysis/2. Efficient Market Hypothesis.mp4
55 MB
4. Time Series Analysis/2. Efficient Market Hypothesis.srt
16 kB
4. Time Series Analysis/20. Stationarity Code.mp4
65 MB
4. Time Series Analysis/20. Stationarity Code.srt
11 kB
4. Time Series Analysis/21. ACF (Autocorrelation Function).mp4
37 MB
4. Time Series Analysis/21. ACF (Autocorrelation Function).srt
13 kB
4. Time Series Analysis/22. PACF (Partial Autocorrelation Funtion).mp4
26 MB
4. Time Series Analysis/22. PACF (Partial Autocorrelation Funtion).srt
8.0 kB
4. Time Series Analysis/23. ACF and PACF in Code (pt 1).mp4
42 MB
4. Time Series Analysis/23. ACF and PACF in Code (pt 1).srt
9.3 kB
4. Time Series Analysis/24. ACF and PACF in Code (pt 2).mp4
35 MB
4. Time Series Analysis/24. ACF and PACF in Code (pt 2).srt
8.0 kB
4. Time Series Analysis/25. Auto ARIMA and SARIMAX.mp4
41 MB
4. Time Series Analysis/25. Auto ARIMA and SARIMAX.srt
12 kB
4. Time Series Analysis/26. Model Selection, AIC and BIC.mp4
47 MB
4. Time Series Analysis/26. Model Selection, AIC and BIC.srt
14 kB
4. Time Series Analysis/27. ARIMA in Code (pt 2).mp4
110 MB
4. Time Series Analysis/27. ARIMA in Code (pt 2).srt
17 kB
4. Time Series Analysis/28. ARIMA in Code (pt 3).mp4
112 MB
4. Time Series Analysis/28. ARIMA in Code (pt 3).srt
18 kB
4. Time Series Analysis/29. ACF and PACF for Stock Returns.mp4
49 MB
4. Time Series Analysis/29. ACF and PACF for Stock Returns.srt
8.4 kB
4. Time Series Analysis/3. Random Walk Hypothesis.mp4
72 MB
4. Time Series Analysis/3. Random Walk Hypothesis.srt
19 kB
4. Time Series Analysis/30. Forecasting.mp4
39 MB
4. Time Series Analysis/30. Forecasting.srt
12 kB
4. Time Series Analysis/31. Time Series Analysis Section Conclusion.mp4
18 MB
4. Time Series Analysis/31. Time Series Analysis Section Conclusion.srt
5.3 kB
4. Time Series Analysis/4. The Naive Forecast.mp4
31 MB
4. Time Series Analysis/4. The Naive Forecast.srt
9.2 kB
4. Time Series Analysis/5. Simple Moving Average (Theory).mp4
20 MB
4. Time Series Analysis/5. Simple Moving Average (Theory).srt
5.7 kB
4. Time Series Analysis/6. Simple Moving Average (Code).mp4
54 MB
4. Time Series Analysis/6. Simple Moving Average (Code).srt
9.6 kB
4. Time Series Analysis/7. Exponentially-Weighted Moving Average (Theory).mp4
38 MB
4. Time Series Analysis/7. Exponentially-Weighted Moving Average (Theory).srt
15 kB
4. Time Series Analysis/8. Exponentially-Weighted Moving Average (Code).mp4
54 MB
4. Time Series Analysis/8. Exponentially-Weighted Moving Average (Code).srt
15 kB
4. Time Series Analysis/9. Simple Exponential Smoothing for Forecasting (Theory).mp4
36 MB
4. Time Series Analysis/9. Simple Exponential Smoothing for Forecasting (Theory).srt
14 kB
5. Portfolio Optimization and CAPM/1. Portfolio Optimization Section Introduction.mp4
24 MB
5. Portfolio Optimization and CAPM/1. Portfolio Optimization Section Introduction.srt
4.8 kB
5. Portfolio Optimization and CAPM/10. Maximum and Minimum Portfolio Return in Code.mp4
28 MB
5. Portfolio Optimization and CAPM/10. Maximum and Minimum Portfolio Return in Code.srt
5.8 kB
5. Portfolio Optimization and CAPM/11. Mean-Variance Optimization.mp4
32 MB
5. Portfolio Optimization and CAPM/11. Mean-Variance Optimization.srt
10 kB
5. Portfolio Optimization and CAPM/12. The Efficient Frontier.mp4
31 MB
5. Portfolio Optimization and CAPM/12. The Efficient Frontier.srt
9.5 kB
5. Portfolio Optimization and CAPM/13. Mean-Variance Optimization And The Efficient Frontier in Code.mp4
53 MB
5. Portfolio Optimization and CAPM/13. Mean-Variance Optimization And The Efficient Frontier in Code.srt
11 kB
5. Portfolio Optimization and CAPM/14. Global Minimum Variance (GMV) Portfolio.mp4
8.6 MB
5. Portfolio Optimization and CAPM/14. Global Minimum Variance (GMV) Portfolio.srt
2.3 kB
5. Portfolio Optimization and CAPM/15. Global Minimum Variance (GMV) Portfolio in Code.mp4
14 MB
5. Portfolio Optimization and CAPM/15. Global Minimum Variance (GMV) Portfolio in Code.srt
2.5 kB
5. Portfolio Optimization and CAPM/16. Sharpe Ratio.mp4
38 MB
5. Portfolio Optimization and CAPM/16. Sharpe Ratio.srt
10 kB
5. Portfolio Optimization and CAPM/17. Maximum Sharpe Ratio in Code.mp4
44 MB
5. Portfolio Optimization and CAPM/17. Maximum Sharpe Ratio in Code.srt
8.3 kB
5. Portfolio Optimization and CAPM/18. Portfolio with a Risk-Free Asset and Tangency Portfolio.mp4
38 MB
5. Portfolio Optimization and CAPM/18. Portfolio with a Risk-Free Asset and Tangency Portfolio.srt
12 kB
5. Portfolio Optimization and CAPM/19. Risk-Free Asset and Tangency Portfolio in Code.mp4
14 MB
5. Portfolio Optimization and CAPM/19. Risk-Free Asset and Tangency Portfolio in Code.srt
2.6 kB
5. Portfolio Optimization and CAPM/2. The S&P500.mp4
12 MB
5. Portfolio Optimization and CAPM/2. The S&P500.srt
3.3 kB
5. Portfolio Optimization and CAPM/20. Capital Asset Pricing Model (CAPM).mp4
52 MB
5. Portfolio Optimization and CAPM/20. Capital Asset Pricing Model (CAPM).srt
16 kB
5. Portfolio Optimization and CAPM/21. Problems with Markowitz Portfolio Theory and Robust Estimation.mp4
48 MB
5. Portfolio Optimization and CAPM/21. Problems with Markowitz Portfolio Theory and Robust Estimation.srt
12 kB
5. Portfolio Optimization and CAPM/22. Portfolio Optimization Section Conclusion.mp4
18 MB
5. Portfolio Optimization and CAPM/22. Portfolio Optimization Section Conclusion.srt
2.9 kB
5. Portfolio Optimization and CAPM/3. What is Risk.mp4
30 MB
5. Portfolio Optimization and CAPM/3. What is Risk.srt
9.4 kB
5. Portfolio Optimization and CAPM/4. Why Diversify.mp4
33 MB
5. Portfolio Optimization and CAPM/4. Why Diversify.srt
10 kB
5. Portfolio Optimization and CAPM/5. Describing a Portfolio (pt 1).mp4
36 MB
5. Portfolio Optimization and CAPM/5. Describing a Portfolio (pt 1).srt
12 kB
5. Portfolio Optimization and CAPM/6. Describing a Portfolio (pt 2).mp4
23 MB
5. Portfolio Optimization and CAPM/6. Describing a Portfolio (pt 2).srt
7.9 kB
5. Portfolio Optimization and CAPM/7. Visualizing Random Portfolios and Monte Carlo Simulation (pt 1).mp4
73 MB
5. Portfolio Optimization and CAPM/7. Visualizing Random Portfolios and Monte Carlo Simulation (pt 1).srt
16 kB
5. Portfolio Optimization and CAPM/8. Visualizing Random Portfolios and Monte Carlo Simulation (pt 2).mp4
89 MB
5. Portfolio Optimization and CAPM/8. Visualizing Random Portfolios and Monte Carlo Simulation (pt 2).srt
18 kB
5. Portfolio Optimization and CAPM/9. Maximum and Minimum Portfolio Return.mp4
33 MB
5. Portfolio Optimization and CAPM/9. Maximum and Minimum Portfolio Return.srt
12 kB
6. VIP Algorithmic Trading/1. Algorithmic Trading Section Introduction.mp4
14 MB
6. VIP Algorithmic Trading/1. Algorithmic Trading Section Introduction.srt
3.6 kB
6. VIP Algorithmic Trading/2. Trend-Following Strategy.mp4
56 MB
6. VIP Algorithmic Trading/2. Trend-Following Strategy.srt
18 kB
6. VIP Algorithmic Trading/3. Trend-Following Strategy in Code (pt 1).mp4
64 MB
6. VIP Algorithmic Trading/3. Trend-Following Strategy in Code (pt 1).srt
9.4 kB
6. VIP Algorithmic Trading/4. Trend-Following Strategy in Code (pt 2).mp4
69 MB
6. VIP Algorithmic Trading/4. Trend-Following Strategy in Code (pt 2).srt
12 kB
6. VIP Algorithmic Trading/5. Machine Learning-Based Trading Strategy.mp4
33 MB
6. VIP Algorithmic Trading/5. Machine Learning-Based Trading Strategy.srt
10 kB
6. VIP Algorithmic Trading/6. Machine Learning-Based Trading Strategy in Code.mp4
70 MB
6. VIP Algorithmic Trading/6. Machine Learning-Based Trading Strategy in Code.srt
10 kB
6. VIP Algorithmic Trading/7. Classification-Based Trading Strategy in Code.mp4
25 MB
6. VIP Algorithmic Trading/7. Classification-Based Trading Strategy in Code.srt
4.2 kB
6. VIP Algorithmic Trading/8. Using a Random Forest Classifier for Machine Learning-Based Trading.mp4
33 MB
6. VIP Algorithmic Trading/8. Using a Random Forest Classifier for Machine Learning-Based Trading.srt
5.5 kB
6. VIP Algorithmic Trading/9. Algorithmic Trading Section Summary.mp4
30 MB
6. VIP Algorithmic Trading/9. Algorithmic Trading Section Summary.srt
7.6 kB
7. VIP The Basics of Reinforcement Learning/1. Reinforcement Learning Section Introduction.mp4
41 MB
7. VIP The Basics of Reinforcement Learning/1. Reinforcement Learning Section Introduction.srt
8.7 kB
7. VIP The Basics of Reinforcement Learning/10. Epsilon-Greedy.mp4
42 MB
7. VIP The Basics of Reinforcement Learning/10. Epsilon-Greedy.srt
7.4 kB
7. VIP The Basics of Reinforcement Learning/11. Q-Learning.mp4
67 MB
7. VIP The Basics of Reinforcement Learning/11. Q-Learning.srt
18 kB
7. VIP The Basics of Reinforcement Learning/12. How to Learn Reinforcement Learning.mp4
40 MB
7. VIP The Basics of Reinforcement Learning/12. How to Learn Reinforcement Learning.srt
7.6 kB
7. VIP The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4
105 MB
7. VIP The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.srt
26 kB
7. VIP The Basics of Reinforcement Learning/3. States, Actions, Rewards, Policies.mp4
44 MB
7. VIP The Basics of Reinforcement Learning/3. States, Actions, Rewards, Policies.srt
12 kB
7. VIP The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4
51 MB
7. VIP The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).srt
13 kB
7. VIP The Basics of Reinforcement Learning/5. The Return.mp4
24 MB
7. VIP The Basics of Reinforcement Learning/5. The Return.srt
6.3 kB
7. VIP The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp4
48 MB
7. VIP The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.srt
13 kB
7. VIP The Basics of Reinforcement Learning/7. What does it mean to “learn”.mp4
32 MB
7. VIP The Basics of Reinforcement Learning/7. What does it mean to “learn”.srt
8.9 kB
7. VIP The Basics of Reinforcement Learning/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4
46 MB
7. VIP The Basics of Reinforcement Learning/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt
13 kB
7. VIP The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4
56 MB
7. VIP The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt
16 kB
8. VIP Reinforcement Learning for Algorithmic Trading/1. Trend-Following Strategy with Reinforcement Learning API.mp4
50 MB
8. VIP Reinforcement Learning for Algorithmic Trading/1. Trend-Following Strategy with Reinforcement Learning API.srt
16 kB
8. VIP Reinforcement Learning for Algorithmic Trading/2. Trend-Following Strategy Revisited (Code).mp4
56 MB
8. VIP Reinforcement Learning for Algorithmic Trading/2. Trend-Following Strategy Revisited (Code).srt
10 kB
8. VIP Reinforcement Learning for Algorithmic Trading/3. Q-Learning in an Algorithmic Trading Context.mp4
30 MB
8. VIP Reinforcement Learning for Algorithmic Trading/3. Q-Learning in an Algorithmic Trading Context.srt
9.3 kB
8. VIP Reinforcement Learning for Algorithmic Trading/4. Representing States.mp4
33 MB
8. VIP Reinforcement Learning for Algorithmic Trading/4. Representing States.srt
9.6 kB
8. VIP Reinforcement Learning for Algorithmic Trading/5. Q-Learning for Algorithmic Trading in Code.mp4
103 MB
8. VIP Reinforcement Learning for Algorithmic Trading/5. Q-Learning for Algorithmic Trading in Code.srt
18 kB
9. VIP Statistical Factor Models and Unsupervised Machine Learning/1. Statistical Factor Models (Beginner).mp4
63 MB
9. VIP Statistical Factor Models and Unsupervised Machine Learning/1. Statistical Factor Models (Beginner).srt
21 kB
9. VIP Statistical Factor Models and Unsupervised Machine Learning/2. Statistical Factor Models (Intermediate).mp4
40 MB
9. VIP Statistical Factor Models and Unsupervised Machine Learning/2. Statistical Factor Models (Intermediate).srt
13 kB
9. VIP Statistical Factor Models and Unsupervised Machine Learning/3. Statistical Factor Models (Advanced).mp4
73 MB
9. VIP Statistical Factor Models and Unsupervised Machine Learning/3. Statistical Factor Models (Advanced).srt
25 kB
9. VIP Statistical Factor Models and Unsupervised Machine Learning/4. Statistical Factor Models (Code).mp4
101 MB
9. VIP Statistical Factor Models and Unsupervised Machine Learning/4. Statistical Factor Models (Code).srt
19 kB