With Python for Finance Cookbook, use powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial data. Explore unique recipes for financial data analysis and processing with Python. (Limited-time offer)
Book Description
- 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
- Advanced Machine Learning Models in Finance
- Deep Learning in Finance
- Other Books You May Enjoy
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Author(s): Eryk Lewinson
Publisher: Packt Publishing
Published: January 31, 2020
Format(s): Online
File size: –
Number of pages: 432
Download / View Link(s): This offer has ended.
Free as of07/02/2020 09/16/2020.
Publisher: Packt Publishing
Published: January 31, 2020
Format(s): Online
File size: –
Number of pages: 432
Download / View Link(s): This offer has ended.
Free as of