Predicting Stock Price Variation
This project focuses on predicting the movements of stocks over time based on various financial and economic indicators. The goal is to determine the most important financial indicators affecting stock prices and develop an accurate predictive model. The analysis includes feature importance analysis, model training with various machine learning algorithms, and performance evaluation across different market conditions.
Project details
Technologies
Python, Scikit-learn, Pandas, Feature Engineering, Machine Learning