Analyze A/B test results to determine if a new webpage design improves user conversion rates. Explore descriptive statistics, probability, hypothesis testing, and logistic regression to assess the impact of the treatment group and user demographics. 📊🔍

Time-series regression model built on release dates of all PyPI Packages

This project is accomplished as the part of the Machine Learning module in the Westminster International University in Tashkent (WIUT).

Machine learning project for an insurance company: customer similarity (kNN), benefits classification/regression, and privacy-preserving data obfuscation using an invertible matrix.

A controlled experiment showing how regression models behave under noise, multicollinearity, and limited data.

This repository contains code for the CSE574 INTRO TO MACHINE LEARNING VISUALIZATION AND REGRESSION

Diamond Price Prediction with jupyter

The Zomato Rating Prediction project aims to develop a Machine Learning based system for the prediction of rating for the Restaurants.

This is machine learning web app that use to predict gemstone price according to given Parmenter in data set.

Spatial Data Science

MLFND boston housing prices prediction project.

Portfolio of data science projects done by me (Ethari Varun) using Crisp-DM methodology. The projects are done by using various supervised and unsupervised machine learning algorithms, deep learning algorithms, computer vision and NLP.

An algorithm for bayesian regression with uncertainties in all dimensions.

📈 Machine Learning & Data Visualisation/Processing techniques for predicting the critical temperatures required for different superconductors to conduct electrical current with no resistance.

The insurance.csv dataset contains 1338 observations (rows) and 7 features (columns). The dataset contains 4 numerical features (age, bmi, children and expenses) and 3 nominal features (sex, smoker and region) that were converted into factors with numerical value designated for each level.

Projeto de Data Science aplicada a área da pecuária usando o método CRISP-DM.

Telegram bot for Rossmann DS project

An EDA and predictive modelling

A business analytics application that predicts sales from marketing spend across channels and translates model outputs into actionable budget allocation insights.