Pinned Repositories
5005974-DN3.0_Excercises
ADP-LAbs
Assignment-Week-12-Celebal-Technologies
Elections-Ad-Spending-Analysis.
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 turnout, and more. Gain insights into the impact of political advertising on voter engagement.
IPO-Underpricing-Prediction-and-Financial-Data-Analysis
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 valuations and address the volatility in post-IPO stock prices.
IPO-Valuation-and-Stock-Price-Forecasting-with-Machine-Learning
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). Includes comprehensive analysis from data preprocessing to model evaluation.
OjasweeU's Repositories
OjasweeU/SPB
OjasweeU/Assignment-Week-12-Celebal-Technologies
OjasweeU/IPO-Underpricing-Prediction-and-Financial-Data-Analysis
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 valuations and address the volatility in post-IPO stock prices.
OjasweeU/ADP-LAbs
OjasweeU/Elections-Ad-Spending-Analysis.
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 turnout, and more. Gain insights into the impact of political advertising on voter engagement.
OjasweeU/5005974-DN3.0_Excercises
OjasweeU/IPO-Valuation-and-Stock-Price-Forecasting-with-Machine-Learning
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). Includes comprehensive analysis from data preprocessing to model evaluation.