Machine Learning for Finance
Explore Machine Learning algorithms to finance problems
Created by Aryan Singh
Gain hands-on experience applying machine learning to real-world finance problems using Python. Explore tools like NumPy, Pandas, and Matplotlib while building models for stock prediction, portfolio optimization, and fraud detection. Develop practical skills to stay ahead in the fast-changing fintech landscape.
Packt | Apr 2020 | 270 min
What You Will Learn
You will start by exploring financial data and learning how to visualize and analyze it using Python. Step by step, you will build and train machine learning models for tasks like stock price prediction and fraud detection. Along the way, you will apply portfolio theory and risk management concepts to real investment scenarios.
Key Features
- Visualize and analyze financial data using Python libraries and key indicators
- Build machine learning models to predict stock prices and detect fraud
- Apply portfolio theory and risk management to optimize investment strategies
Target Audience
Designed for financial professionals with basic Python skills who want to deepen their expertise in machine learning. If you are looking to solve real finance problems, enhance your fintech knowledge, and confidently apply data-driven techniques in your work, this course is for you.
