Projects
Have a look at some of my work
Predicting house prices using the Ames Housing Dataset.
This project focuses on building a regression model to predict house prices using the Ames Housing Dataset. The primary metric for model evaluation is the Root Mean Squared Error (RMSE). Linear regression serves as the main modeling approach, but other regression techniques like Lasso is also explored. Additionally, we will also experiment with Polynomial Features and Scaling. We will document the performance of each model with it's RMSE and R2 scores. In the end we will examine the forward selection and backward selection algorithms for determining optimal features for our regression model. We will conclude our exploration with the stepwise algorithm for feature selection and document our findings.Read More →
Vision System for object detection
In this project I have created a realtime vision system for object detectionRead More →
Reddit Post Classification
In this project, I built a NLP classification model to classify which subreddit a post comes from.Read More →