Project Overview
The Tanzania Stock Market Prediction project is a sophisticated data science initiative focused on analyzing historical stock market data from Tanzania's financial markets to build accurate predictive models. This project addresses the need for data-driven investment insights in emerging African markets.
The system processes historical stock data, applies various machine learning algorithms including linear regression, random forests, and LSTM neural networks to forecast price movements. It includes comprehensive data preprocessing, feature engineering, model evaluation, and visualization components to provide actionable insights for investors and traders.