The first step after importing the required libraries was authentication using the API key (paste it instead of {key}). When providing the dataset argument, we used the following structure: DATASET/TICKER.
- 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
How it works...
-
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.