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

A project to predict the average prices of Avocado in USA.

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

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.

Internship in Codeway Solution Company

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.

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

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.

Titanic Machine Learning from Disaster

Dataset of the real-time election results of the 2019 Portuguese Parliamentary Election. Dataset describing the evolution of results in the Portuguese Parliamentary Elections of October 6th 2019. The data spans a time interval of 4 hours and 25 minutes, in intervals of 5 minutes, concerning the results of the 27 parties involved in the electoral…

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.

Amazon employee data to predict approval/ denial

Using Convolutional Neural Networks to create image classifiers [ cats + dogs & cats + dogs + lions + tigers ]

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!

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