Udemy Financial Engineering and Artificial Intelligence in Python 2020 En

Udemy Financial Engineering and Artificial Intelligence in Python 2020 En

Name	[Udemy] Financial Engineering and Artificial Intelligence in Python (2020) [En]	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	6.5 GB
Total Files	273
Hash	B1AD0188A0DBC5B81AD4FFC282169673F023131F

/11. Setting Up Your Environment FAQ/
1. Windows-Focused Environment Setup 2018.mp4	189.4 MB
1. Windows-Focused Environment Setup 2018.srt	20.2 KB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	157.9 MB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	14.5 KB
/1. Welcome/
1. Introduction and Outline.srt	9.8 KB
2. Where to get the code.mp4	46.4 MB
2. Where to get the code.srt	12.7 KB
3. Scope of the course.mp4	24.8 MB
3. Scope of the course.srt	4.9 KB
4. How to Practice.mp4	25.7 MB
4. How to Practice.srt	5.3 KB
5. Warmup (Optional).mp4	20.7 MB
5. Warmup (Optional).srt	5.6 KB
1. Introduction and Outline.mp4	49.1 MB
/2. Financial Basics/
1. Financial Basics Section Introduction.mp4	30.3 MB
1. Financial Basics Section Introduction.srt	7.6 KB
2. Getting Financial Data.mp4	43.9 MB
2. Getting Financial Data.srt	10.2 KB
3. Getting Financial Data (Code).mp4	65.7 MB
3. Getting Financial Data (Code).srt	9.7 KB
4. Understanding Financial Data.mp4	29.9 MB
4. Understanding Financial Data.srt	6.8 KB
5. Understanding Financial Data (Code).mp4	79.3 MB
5. Understanding Financial Data (Code).srt	15.5 KB
6. Dealing with Missing Data.mp4	29.7 MB
6. Dealing with Missing Data.srt	8.0 KB
7. Dealing with Missing Data (Code).mp4	39.5 MB
7. Dealing with Missing Data (Code).srt	9.2 KB
8. Returns.mp4	30.7 MB
8. Returns.srt	12.0 KB
9. Adjusted Close, Stock Splits, and Dividends.mp4	49.7 MB
9. Adjusted Close, Stock Splits, and Dividends.srt	16.6 KB
10. Adjusted Close (Code).mp4	22.0 MB
10. Adjusted Close (Code).srt	4.7 KB
11. Back to Returns (Code).mp4	47.9 MB
11. Back to Returns (Code).srt	9.3 KB
12. QQ-Plots.mp4	21.7 MB
12. QQ-Plots.srt	7.4 KB
13. QQ-Plots (Code).mp4	37.0 MB
13. QQ-Plots (Code).srt	10.2 KB
14. The t-Distribution.mp4	20.6 MB
14. The t-Distribution.srt	5.2 KB
15. The t-Distribution (Code).mp4	53.3 MB
15. The t-Distribution (Code).srt	10.7 KB
16. Skewness and Kurtosis.mp4	36.4 MB
16. Skewness and Kurtosis.srt	10.6 KB
17. Confidence Intervals.mp4	40.7 MB
17. Confidence Intervals.srt	14.0 KB
18. Confidence Intervals (Code).mp4	12.9 MB
18. Confidence Intervals (Code).srt	2.9 KB
19. Statistical Testing.mp4	63.6 MB
19. Statistical Testing.srt	21.3 KB
20. Statistical Testing (Code).mp4	44.0 MB
20. Statistical Testing (Code).srt	9.3 KB
21. Covariance and Correlation.mp4	34.5 MB
21. Covariance and Correlation.srt	11.1 KB
22. Covariance and Correlation (Code).mp4	40.9 MB
22. Covariance and Correlation (Code).srt	7.3 KB
23. Alpha and Beta.mp4	30.2 MB
23. Alpha and Beta.srt	9.5 KB
24. Alpha and Beta (Code).mp4	48.0 MB
24. Alpha and Beta (Code).srt	10.6 KB
25. Mixture of Gaussians.mp4	30.8 MB
25. Mixture of Gaussians.srt	9.4 KB
26. Mixture of Gaussians (Code).mp4	35.2 MB
26. Mixture of Gaussians (Code).srt	8.4 KB
27. Volatility Clustering.mp4	19.4 MB
27. Volatility Clustering.srt	4.0 KB
28. Price Simulation.mp4	12.6 MB
28. Price Simulation.srt	4.1 KB
29. Price Simulation (Code).mp4	12.8 MB
29. Price Simulation (Code).srt	3.2 KB
30. Financial Basics Section Summary.mp4	10.5 MB
30. Financial Basics Section Summary.srt	3.1 KB
31. Suggestion Box.mp4	16.9 MB
31. Suggestion Box.srt	4.8 KB
/3. Time Series Analysis/
1. Time Series Analysis Section Introduction.mp4	33.4 MB
1. Time Series Analysis Section Introduction.srt	9.6 KB
2. Efficient Market Hypothesis.mp4	57.4 MB
2. Efficient Market Hypothesis.srt	16.5 KB
3. Random Walk Hypothesis.mp4	74.9 MB
3. Random Walk Hypothesis.srt	19.6 KB
4. The Naive Forecast.mp4	32.5 MB
4. The Naive Forecast.srt	9.4 KB
5. Simple Moving Average (Theory).mp4	20.8 MB
5. Simple Moving Average (Theory).srt	5.9 KB
6. Simple Moving Average (Code).mp4	58.3 MB
6. Simple Moving Average (Code).srt	9.7 KB
7. Exponentially-Weighted Moving Average (Theory).mp4	39.6 MB
7. Exponentially-Weighted Moving Average (Theory).srt	15.0 KB
8. Exponentially-Weighted Moving Average (Code).mp4	57.0 MB
8. Exponentially-Weighted Moving Average (Code).srt	15.0 KB
9. Simple Exponential Smoothing for Forecasting (Theory).mp4	38.1 MB
9. Simple Exponential Smoothing for Forecasting (Theory).srt	14.2 KB
10. Simple Exponential Smoothing for Forecasting (Code).mp4	62.0 MB
10. Simple Exponential Smoothing for Forecasting (Code).srt	12.9 KB
11. Holt's Linear Trend Model (Theory).mp4	34.6 MB
11. Holt's Linear Trend Model (Theory).srt	10.3 KB
12. Holt's Linear Trend Model (Code).mp4	19.5 MB
12. Holt's Linear Trend Model (Code).srt	3.5 KB
13. Holt-Winters (Theory).mp4	51.2 MB
13. Holt-Winters (Theory).srt	15.4 KB
14. Holt-Winters (Code).mp4	55.0 MB
14. Holt-Winters (Code).srt	10.1 KB
15. Autoregressive Models - AR(p).mp4	56.3 MB
15. Autoregressive Models - AR(p).srt	17.1 KB
16. Moving Average Models - MA(q).mp4	11.5 MB
16. Moving Average Models - MA(q).srt	4.3 KB
17. ARIMA.mp4	44.7 MB
17. ARIMA.srt	14.1 KB
18. ARIMA in Code (pt 1).mp4	142.0 MB
18. ARIMA in Code (pt 1).srt	25.1 KB
19. Stationarity.mp4	53.5 MB
19. Stationarity.srt	16.7 KB
20. Stationarity Code.mp4	67.7 MB
20. Stationarity Code.srt	11.0 KB
21. ACF (Autocorrelation Function).mp4	39.2 MB
21. ACF (Autocorrelation Function).srt	13.3 KB
22. PACF (Partial Autocorrelation Funtion).mp4	27.4 MB
22. PACF (Partial Autocorrelation Funtion).srt	8.2 KB
23. ACF and PACF in Code (pt 1).mp4	44.4 MB
23. ACF and PACF in Code (pt 1).srt	9.6 KB
24. ACF and PACF in Code (pt 2).mp4	37.1 MB
24. ACF and PACF in Code (pt 2).srt	8.2 KB
25. Auto ARIMA and SARIMAX.mp4	42.6 MB
25. Auto ARIMA and SARIMAX.srt	12.6 KB
26. Model Selection, AIC and BIC.mp4	49.6 MB
26. Model Selection, AIC and BIC.srt	13.8 KB
27. ARIMA in Code (pt 2).mp4	115.1 MB
27. ARIMA in Code (pt 2).srt	17.1 KB
28. ARIMA in Code (pt 3).mp4	117.4 MB
28. ARIMA in Code (pt 3).srt	18.5 KB
29. ACF and PACF for Stock Returns.mp4	51.1 MB
29. ACF and PACF for Stock Returns.srt	8.7 KB
30. Forecasting.mp4	41.1 MB
30. Forecasting.srt	12.4 KB
31. Time Series Analysis Section Conclusion.mp4	19.0 MB
31. Time Series Analysis Section Conclusion.srt	5.4 KB
/4. Portfolio Optimization and CAPM/
1. Portfolio Optimization Section Introduction.mp4	25.5 MB
1. Portfolio Optimization Section Introduction.srt	4.9 KB
2. The S&P500.mp4	12.2 MB
2. The S&P500.srt	3.4 KB
3. What is Risk.mp4	32.0 MB
3. What is Risk.srt	9.6 KB
4. Why Diversify.mp4	34.8 MB
4. Why Diversify.srt	10.8 KB
5. Describing a Portfolio (pt 1).mp4	38.3 MB
5. Describing a Portfolio (pt 1).srt	12.6 KB
6. Describing a Portfolio (pt 2).mp4	23.9 MB
6. Describing a Portfolio (pt 2).srt	8.1 KB
7. Visualizing Random Portfolios and Monte Carlo Simulation (pt 1).mp4	77.2 MB
7. Visualizing Random Portfolios and Monte Carlo Simulation (pt 1).srt	16.6 KB
8. Visualizing Random Portfolios and Monte Carlo Simulation (pt 2).mp4	93.0 MB
8. Visualizing Random Portfolios and Monte Carlo Simulation (pt 2).srt	18.8 KB
9. Maximum and Minimum Portfolio Return.mp4	34.3 MB
9. Maximum and Minimum Portfolio Return.srt	12.8 KB
10. Maximum and Minimum Portfolio Return in Code.mp4	29.3 MB
10. Maximum and Minimum Portfolio Return in Code.srt	5.9 KB
11. Mean-Variance Optimization.mp4	33.2 MB
11. Mean-Variance Optimization.srt	10.3 KB
12. The Efficient Frontier.mp4	32.2 MB
12. The Efficient Frontier.srt	9.8 KB
13. Mean-Variance Optimization And The Efficient Frontier in Code.mp4	56.0 MB
13. Mean-Variance Optimization And The Efficient Frontier in Code.srt	11.5 KB
14. Global Minimum Variance (GMV) Portfolio.mp4	9.0 MB
14. Global Minimum Variance (GMV) Portfolio.srt	2.4 KB
15. Global Minimum Variance (GMV) Portfolio in Code.mp4	14.3 MB
15. Global Minimum Variance (GMV) Portfolio in Code.srt	2.5 KB
16. Sharpe Ratio.mp4	39.4 MB
16. Sharpe Ratio.srt	10.2 KB
17. Maximum Sharpe Ratio in Code.mp4	45.7 MB
17. Maximum Sharpe Ratio in Code.srt	8.5 KB
18. Portfolio with a Risk-Free Asset and Tangency Portfolio.mp4	39.7 MB
18. Portfolio with a Risk-Free Asset and Tangency Portfolio.srt	12.7 KB
19. Risk-Free Asset and Tangency Portfolio in Code.mp4	14.2 MB
19. Risk-Free Asset and Tangency Portfolio in Code.srt	2.6 KB
20. Capital Asset Pricing Model (CAPM).mp4	54.8 MB
20. Capital Asset Pricing Model (CAPM).srt	16.4 KB
21. Problems with Markowitz Portfolio Theory and Robust Estimation.mp4	50.4 MB
21. Problems with Markowitz Portfolio Theory and Robust Estimation.srt	12.5 KB
22. Portfolio Optimization Section Conclusion.mp4	18.3 MB
22. Portfolio Optimization Section Conclusion.srt	3.0 KB
/5. VIP Algorithmic Trading/
1. Algorithmic Trading Section Introduction.mp4	14.7 MB
1. Algorithmic Trading Section Introduction.srt	3.7 KB
2. Trend-Following Strategy.mp4	58.6 MB
2. Trend-Following Strategy.srt	18.4 KB
3. Trend-Following Strategy in Code (pt 1).mp4	66.7 MB
3. Trend-Following Strategy in Code (pt 1).srt	9.6 KB
4. Trend-Following Strategy in Code (pt 2).mp4	72.5 MB
4. Trend-Following Strategy in Code (pt 2).srt	12.3 KB
5. Machine Learning-Based Trading Strategy.mp4	34.9 MB
5. Machine Learning-Based Trading Strategy.srt	10.5 KB
6. Machine Learning-Based Trading Strategy in Code.mp4	72.9 MB
6. Machine Learning-Based Trading Strategy in Code.srt	10.6 KB
7. Classification-Based Trading Strategy in Code.mp4	26.3 MB
7. Classification-Based Trading Strategy in Code.srt	4.3 KB
8. Using a Random Forest Classifier for Machine Learning-Based Trading.mp4	34.6 MB
8. Using a Random Forest Classifier for Machine Learning-Based Trading.srt	5.7 KB
9. Algorithmic Trading Section Summary.mp4	31.4 MB
9. Algorithmic Trading Section Summary.srt	7.7 KB
/6. VIP The Basics of Reinforcement Learning/
1. Reinforcement Learning Section Introduction.mp4	42.8 MB
1. Reinforcement Learning Section Introduction.srt	8.9 KB
2. Elements of a Reinforcement Learning Problem.mp4	110.2 MB
2. Elements of a Reinforcement Learning Problem.srt	26.5 KB
3. States, Actions, Rewards, Policies.mp4	46.5 MB
3. States, Actions, Rewards, Policies.srt	11.9 KB
4. Markov Decision Processes (MDPs).mp4	53.2 MB
4. Markov Decision Processes (MDPs).srt	13.0 KB
5. The Return.mp4	24.7 MB
5. The Return.srt	6.5 KB
6. Value Functions and the Bellman Equation.mp4	50.3 MB
6. Value Functions and the Bellman Equation.srt	12.9 KB
7. What does it mean to “learn”.mp4	34.3 MB
7. What does it mean to “learn”.srt	9.1 KB
8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4	44.9 MB
8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt	12.7 KB
9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4	60.0 MB
9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt	15.1 KB
10. Epsilon-Greedy.mp4	43.7 MB
10. Epsilon-Greedy.srt	7.6 KB
11. Q-Learning.mp4	70.2 MB
11. Q-Learning.srt	18.5 KB
12. How to Learn Reinforcement Learning.mp4	42.4 MB
12. How to Learn Reinforcement Learning.srt	7.7 KB
/7. VIP Reinforcement Learning for Algorithmic Trading/
1. Trend-Following Strategy with Reinforcement Learning API.mp4	52.0 MB
1. Trend-Following Strategy with Reinforcement Learning API.srt	16.1 KB
2. Trend-Following Strategy Revisited (Code).mp4	58.4 MB
2. Trend-Following Strategy Revisited (Code).srt	10.8 KB
3. Q-Learning in an Algorithmic Trading Context.mp4	31.1 MB
3. Q-Learning in an Algorithmic Trading Context.srt	9.5 KB
4. Representing States.mp4	34.2 MB
4. Representing States.srt	9.8 KB
5. Q-Learning for Algorithmic Trading in Code.mp4	108.1 MB
5. Q-Learning for Algorithmic Trading in Code.srt	18.9 KB
/8. VIP Statistical Factor Models and Unsupervised Machine Learning/
1. Statistical Factor Models (Beginner).mp4	66.5 MB
1. Statistical Factor Models (Beginner).srt	21.7 KB
2. Statistical Factor Models (Intermediate).mp4	42.5 MB
2. Statistical Factor Models (Intermediate).srt	13.4 KB
3. Statistical Factor Models (Advanced).mp4	76.7 MB
3. Statistical Factor Models (Advanced).srt	26.0 KB
4. Statistical Factor Models (Code).mp4	106.0 MB
4. Statistical Factor Models (Code).srt	19.0 KB
/9. VIP Regime Detection and Sequence Modeling with Hidden Markov Models/
1. Why Sequence Models (pt 1).mp4	51.9 MB
1. Why Sequence Models (pt 1).srt	19.2 KB
2. Why Sequence Models (pt 2).mp4	43.1 MB
2. Why Sequence Models (pt 2).srt	16.4 KB
3. HMM Parameters.mp4	39.3 MB
3. HMM Parameters.srt	12.6 KB
4. HMM Tasks and the Viterbi Algorithm.mp4	68.2 MB
4. HMM Tasks and the Viterbi Algorithm.srt	19.7 KB
5. HMM for Modeling Volatility Clustering in Code.mp4	106.9 MB
5. HMM for Modeling Volatility Clustering in Code.srt	24.7 KB
/10. Extras/
1. Colab Notebooks.html	0.3 KB
2. VIP Finance Enthusiasts, Beware of Marketers!.mp4	14.2 MB
2. VIP Finance Enthusiasts, Beware of Marketers!.srt	2.9 KB
/12. Extra Help With Python Coding for Beginners FAQ/
1. How to Code by Yourself (part 1).mp4	75.4 MB
1. How to Code by Yourself (part 1).srt	23.2 KB
2. How to Code by Yourself (part 2).mp4	51.6 MB
2. How to Code by Yourself (part 2).srt	13.5 KB
3. Proof that using Jupyter Notebook is the same as not using it.mp4	72.9 MB
3. Proof that using Jupyter Notebook is the same as not using it.srt	14.4 KB
/13. Effective Learning Strategies for Machine Learning FAQ/
1. How to Succeed in this Course (Long Version).mp4	37.0 MB
1. How to Succeed in this Course (Long Version).srt	15.1 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	110.8 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt	32.7 KB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4	83.5 MB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt	17.2 KB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4	113.4 MB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt	24.1 KB
/14. Appendix FAQ Finale/
1. What is the Appendix.mp4	17.2 MB
1. What is the Appendix.srt	3.9 KB
2. BONUS Where to get discount coupons and FREE deep learning material.mp4	39.7 MB
2. BONUS Where to get discount coupons and FREE deep learning material.srt	8.0 KB
Total files 273