This project involves exploratory data analysis and predictive modeling using various statistical and machine learning techniques. In the financial domain, we analyze the Weekly dataset, containing weekly returns spanning two decades. We aim to identify patterns and trends in the data, perform logistic regression, and compare different classificati

This project provides hands-on experience in data handling, cleaning, exploration, and visualization using R. By delving into both real estate and ad click datasets, participants gain insights into user behavior, website usability, and advertising trends.

This project showcases a comprehensive application of financial analytics concepts, portfolio optimization techniques, and statistical software in the R programming language and Microsoft Excel