Student Intern
Developed and implemented a sophisticated machine learning regression model for predicting laptop prices. Leveraged key features such as specifications, brand, and market trends to ensure high predictive accuracy. Techniques employed included linear regression, ridge regression, support vector machines (SVM), and random forest regression, with the latter achieving the highest R2 score using Python.