Shreya Nair's repositories
coding-interview-university
A complete computer science study plan to become a software engineer.
Shreya
🚀 Astro boilerplate with responsive blog and portfolio template using TypeScript and React styled with Tailwind CSS ⚡️ Made with developer experience first: TypeScript + ESLint + Prettier + Husky + Lint-Staged + Commitlint + VSCode
Semisupervised
This project aims to classify whether a person is earning over 50k or not based on various features. We will use classification and semi-supervised learning techniques on the UCI Machine Learning Repository dataset. The goal is to build models that can accurately predict a person's income level.
Houseprice_regression
This project aims to predict house prices using a regression model trained on a house price dataset. The goal is to build a regression model that can accurately predict the price of a house based on various features.
customerchurn
customer churn prediction using logistic regression on telecom dataset
DSBA_TASK2
Prediction using Unsupervised ML . From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
DSBA_TASK1
Predict the percentage of an student based on the no. of study hours. This is a simple linear regression task as it involves just 2 variables.