This repository serves as a showcase for my data science project, demonstrating a project on prediction of high pressure compressor issentropic efficiency using machine learning algorithm

Exploratory Data Analysis & predicting medical insurance cost with machine learning.

Internship in Codeway Solution Company

Designed an end-to-end ML model pipeline, forecasting department-wide sales by accounting for holiday markdown effects, spanning data collection to inferencing.

sms spam ham classification using NLP Techniques

In our internship at Mentorness, we explored T20 World Cup data, using machine learning with expert guidance. Our team analyzed player performance and game outcomes, demonstrating the influence of mentorship on applying machine learning in cricket analytics.

Model to identify the potential lead by assigning a score for their rate of conversion. Therefore, reaching out to potential is no more a brainstorming task.

In this project Utilizing advanced time series forecasting models, successfully predicted department-wide sales for each store for the upcoming year and Visualizing the data in streamlit GUI.

This Repo will contain the Machine Learning code and projects I will be doing

Semantic Similarity on SNLI dataset using BERT as well as TF-IDF+BERT(Pooled) embeddings.

Student Exam Performance Indicator: ML Project Repository for analyzing and predicting student performance. Explore data, build models, and gain insights with ease.

Predicting-Tariff-Rates

Model the Miles Per Gallon (MPG) of the car based on other variables like Horse Power(HP), Speed(SP) , Volume(Vol), Weight(Wt)

A Heart Diseases Prediction built using Django web applications. Users can check whether it suffer heart diseases or not.

An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.

Business Objective : To classify if the borrower will default the loan using borrower’s finance history. That means, given a set of new predictor variables, we need to predict the target variable as 1 -> Defaulter or 0 -> Non-Defaulter.

The repository is focused mostly on the Python libraries used to develop machine learning algorithms. Someone who wants to start a data science career could refer my repository for precise information

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.

Predict customer churn using historical data and machine learning. Retain customers, enhance planning, and cultivate a stable business environment.This project performed on machine learning intern at Mentorness.

Amazon employee data to predict approval/ denial