This repository includes multiple data science projects.
Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence.
With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.
This is Kaggle's competition: House Prices - Advanced Regression Techniques, and I rank top 35% on this project.
This project focuses on sentiment analysis of movie reviews, aimed at determining the underlying sentiment expressed within a body of text. By analyzing the content of movie reviews, we strive to classify each review as positive or negative automatically.
Jonathon, an insurance company serving nationwide, leverages extensive datasets in the insurance and finance sector. These datasets feature a unique label assigning a Customer Lifetime Value (CLV) score to clients who have purchased insurance derived from various factors. This initiative underscores Jobathon's commitment to harnessing data-driven insights to enhance service delivery and customer satisfaction.