Financial Engineering and Artificial Intelligence in Python - Financial Analysis, Time Series Analysis, Portfolio Optimization, CAPM, Algorithmic Trading, Q-Learning, and MORE!
The course AI in Finance on Udemy is designed to help students learn how to use AI and machine learning to solve real-world finance problems. The course covers topics such as data preprocessing, feature engineering, model selection, and model evaluation. It also covers the use of Python and TensorFlow for implementing machine learning algorithms. The course is suitable for anyone who wants to learn how to apply AI and machine learning techniques to finance problems.
What you'll learn
- Forecasting stock prices and stock returns
- Time series analysis
- Holt-Winters exponential smoothing model
- ARIMA
- Efficient Market Hypothesis
- Random Walk Hypothesis
- Exploratory data analysis
- Alpha and Beta
- Distributions and correlations of stock returns
- Modern portfolio theory
- Mean-Variance Optimization
- Efficient frontier, Sharpe ratio, Tangency portfolio
- CAPM (Capital Asset Pricing Model)
- Q-Learning for Algorithmic Trading
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