This project aims to predict the outcome of Indian Premier League (IPL) cricket matches using logistic regression and a user-friendly interface built with Streamlit. The predictive model utilizes historical data from previous IPL seasons to make predictions on upcoming matches.

A predictor of GPCR couplings with G-proteins/B-arrs using Transformers

Machine Learning model using Logistic Regression and a web app using streamlit.

Predicting Marijuana Use Disorder: A Machine Learning Approach

Machine Learning No-Code Environment

Predict and prevent customer churn in the telecom industry with our advanced analytics and Machine Learning project. Uncover key factors driving churn and gain valuable insights into customer behavior with interactive Power BI visualizations. Empower your decision-making process with data-driven strategies and improve customer retention.

This is GEM repo, as it has all the Hands-On ML notebooks

A fraud detection (exploratory) project using machine learning algorithms over 11 million real transactions

Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?

This is our capstone project for the Data Science workshop at neuefische. We worked together with the Institute of Biochemistry from the Veterinary Medical School Hanover to design an application for automated recognition and quantification of Neutrophil Extracellular Traps (NETs)

A personal project where logistic regression is used to predict if a student dropped out.

Realtime Spam Detection using Logistic Regression

The training sessions held by the Artificial Intelligence club at 'Tudor Vianu' High School in Bucharest, Romania.

Github repo for ML Specialization course on Coursera. Contains notes and practice python notebooks.

a mini project on iris dataset, choosing the best machine learning model

Plain python implementations of basic machine learning algorithms

A logistic regression model to accurately predict the likelihood of diabetes using a dataset of relevant patient features

ML Projects with py in an end-to-end pipeline in ML refers to a complete workflow that integrates various stages of a project, from data ingestion and preprocessing to model training, evaluation, and deployment, ensuring a seamless process.