Popular GitHub Repositories for Elasticnet

Model that uses 10 different algorithms to predict the revenue of a movie before it's release

This repository contains code for training an ElasticNet regression model using MLflow. The model predicts the quality of wine based on various features.

Objective: Predicting whether the customer will return or not in the next month. Techniques used: XGBoost, logistic regression, attention based LSTM neural network, self attention based transformer neural network

Team TwinAI repo for Challenge 1 of the Oracle FormulaAI Hack 2022. Our team emerged as one of the 9 prize-winning teams and won the Newcomer Team award.

This project involves building a end to end ML to predict the quality of wine based on various chemical properties. The dataset used includes features such as acidity, sugar content, pH level, and alcohol content. The goal is to provide an accurate prediction of wine quality on a scale from 0 to 10.

This project is about the prediction of red wine quality using different machine learning algorithms with MLOps and CICD pipeline.