Financial-data-analysis

Analysis, prediction and portfolio building using stock market data as a part of machine learning Internship.

The work is divided into 6 modules. They are:

1. Data Exploration
2. Data Visualization
3. Beta Calculation
4. Algo Trading using Classification
5. Modern Portfolio Theory
6. Clustering for Portfolio Diversification and Analysis

Key Learnings 🤓 :

1. Basics of Stock Market, Portfolio Building
2. Algo-trading Models, Portfolio Optimization, and Diversification
3. Exploartory Data Analysis and Data Wrangling
4. Practical application of Machine Learning Algorithms

😁 Cirtificate 😁