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

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.

A bike-sharing system is a service in which bikes are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" which is usually computer-controlled wherein the user enters the payment information, and the system unlocks it.

Titanic Machine Learning from Disaster

Case Study

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.

Internship in Codeway Solution Company

Explore my latest tech portfolio showcasing recent projects and my passion for data analytics, insight generation, visualizations, model building, and project planning. These projects are my initial foray into data science, and I am constantly learning and exploring new ways to use data. Stay tuned for more ambitious projects!

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.

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

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.

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

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.

The objective of this project is to develop a machine learning model and deploy it as a user-friendly web application that predicts the resale prices of flats in Singapore.

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

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

This repository features a collection of my DataCamp projects, including analyzing the Google Play Store app market, investigating Netflix movie trends, building a credit card approval predictor, and increasing site subscriptions using logistic regression.

Welcome to the Machine Learning Repository - Part 4! This repository focuses on unsupervised machine learning algorithms, particularly clustering techniques, and explores the fascinating world of ensemble methods, including boosting and bagging.

Amazon employee data to predict approval/ denial

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