OjasweeU
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This project explores the determinants of IPO underpricing using advanced data preparation and predictive modeling techniques. By analyzing U.S. IPO data from over 600 companies, we predict IPO val…
Jupyter Notebook UpdatedSep 6, 2024 -
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Analyze election ad spending and voter turnout using Python, Pandas, and Plotly. Visualize total ad spend by state, average voter turnout, top 5 party spenders, correlation between spend and turnou…
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A data science project forecasting stock prices for leading tech companies (Tata Technologies, Tech Mahindra, Infosys, Wipro, HCL) using machine learning models (SVR, Random Forest, LSTM, ARIMA). I…