Machine Learning Stock Analysis
Developed in Jupyter Notebook, this project leveraged Python libraries including Matplotlib, NumPy, Pandas, and Scikit-learn to create a robust machine learning model for stock analysis. By utilizing Yahoo Finance data through the yfinance library, the model was able to predict future stock prices with high accuracy. Comprehensive visualizations were generated to showcase both the machine learning model's progress and the financial outcomes, providing clear insights into its performance.
The stock predictor demonstrated impressive results by outperforming the S&P 500 index by 6% during the moderation period. This achievement highlights the model’s effectiveness in analyzing and predicting stock trends, showcasing advanced data processing and analytical skills.