For this recipe, we assume we already have a DataFrame called df with three columns (adj_close, simple_rtn, and log_rtn) and dates set as the index. Please refer to the notebook on the GitHub repository for details on downloading data for this recipe.
- Title Page
- Copyright and Credits
- Dedication
- About Packt
- Contributors
- Preface
- Financial Data and Preprocessing
- Technical Analysis in Python
- Time Series Modeling
- Multi-Factor Models
- Modeling Volatility with GARCH Class Models
- Monte Carlo Simulations in Finance
- Asset Allocation in Python
- Identifying Credit Default with Machine Learning
- Loading data and managing data types
- Exploratory data analysis
- Splitting data into training and test sets
- Dealing with missing values
- Encoding categorical variables
- Fitting a decision tree classifier
- Implementing scikit-learn's pipelines
- Tuning hyperparameters using grid searches and cross-validation
- Advanced Machine Learning Models in Finance
- Deep Learning in Finance
- Other Books You May Enjoy
Getting ready
-
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.