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

Internship in Codeway Solution Company

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.

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

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

Using publically available data for the national factors that impact supply and demand of homes in US, build a model to study the effect of these variables on home prices.

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.

A general cross-platform tool for preparing simulations of molecules and complex molecular assemblies

The main purpose of this repository is to build the pipeline for training of regression models and predict the compressive strength of concrete to reduce the risk and cost involved in discarding the concrete structures when the concrete cube test fails.

Exploratory Data Analysis and Model Building

The project involves creating a predictive model and analyzing the impact of Brexit on UK house prices. It includes tasks such as data preprocessing, exploratory data analysis, feature selection, model building, and visualization of the impact of Brexit on house prices.