Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and s…

Machine Learning engine generates predictions given any dataset using regression

Linear Regression using Gradient Descent

BenchMetrics Prob: Benchmarking of probabilistic error performance evaluation instruments for binary-classification problems

Linear Regression is the basic algorithm to get started with machine learning/ deep learning. I had made this for my C mini-project.

Regression - Bulldozer Sales Price - Kaggle Competition

Predicts the critical heat flux by leveraging Pytorch's custom Datasets and DataLoaders and building curated models.

Data in the social networking services is increasing day by day. So, there is heavy requirement to study the highly dynamic behavior of the users towards these services. The task here is to estimate the comment count that a post is expected to receive in next few(H) hours. Data has been scraped from one of the most popular social networking site…