#Stock Analysis

Explore time series analysis through hands-on sessions covering EDA, stock analysis, and advanced forecasting models like ARIMA, SARIMAX, and Fbprophet.

Learn Python techniques for analyzing low-risk investments, including portfolio creation, risk assessment, ROI analysis, and stock sector diversification using data science libraries.

Learn to analyze stocks using Python, covering correlation, risk minimization, ROI calculation, and portfolio optimization techniques for informed investment decisions.

Learn to identify stock breakout candidates using Python and Pandas, focusing on consolidation patterns and breakout indicators for potential trading opportunities.

Learn to extract stock mentions from Reddit using SpaCy's Named Entity Recognition, enabling automated classification and analysis of unstructured text data for financial insights.