Data Analysis Project on Pulsar Stars

Exploring machine learning algorithms and approaches. I have implemented the famous ARIMA approach for time series analysis of stock price.

Machine Learning project with two main goals: predict chances of customer churn, and define main target groups.

*Developed a healthcare analytics system for Delhi, Mumbai, and Bangalore using Python, Machine Learning *Scraped data from practo.com and performed data cleaning and manipulation *Conducted EDA to obtain insights and built a machine learning model

Predictive HR model to reduce corporate attrition

Return over investment machine learning regression model

Bachelor Thesis, Lennart Keidel - Machine Learning in Games of Imperfect Information

ЭМИИА | EMIIA | МАШИННОЕ РАДИОЗРЕНИЕ | MACHINE RADIO VISION | КОГНИТИВНАЯ РАДИООПТИКА | СОПТШЕШМУ RADIO OPTICS

Data Scientist Bootcamp capstone project

Machine Learning Using Python

This repository contains a Python implementation of a Multiple Linear Regression model to predict a company's profit based on various expenditures and the company's state.

Working with Imbalance Dataset for classification using SVM model

Predict and prevent customer churn in the telecom industry with this project. Harness the power of advanced analytics and Machine Learning on a diverse dataset to develop a robust classification model. Gain deep insights into customer behavior and identify critical factors influencing churn using interactive Power BI visualizations.

A collection of functions that I use for my analysis and model building.

One stop solution to machine learning usecases

This portfolio is a series of projects I have worked on for academic purposes, and other projects done for self-study.

We fit a one-input, one-output function with a simple neural network model.

This is the Winner solution to the UCM Business Modeling Competition of 2024 in Machine Learning held at the Universidad Complutense de Madrid in Spain in cooperation with the company GMV Innovating Solutions SL