A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.

Group elastic net implementation in PyTorch.

glmnet for python

Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi

Applied Machine Learning

Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season

This is a simple webapp for wine quality prediction and involves MLOPs including DVC for model and data tracking and Github actions for CI-Cd workflows. The app is deployed on Heroku.

Final project for the 2019 Colombia Data Science for All (DS4A) program.

📈 Stock Price Prediction using ElasticNetCV | 🥈 Dacon Top 5%

Nested Cross-Validation for Bayesian Optimized Linear Regularization

Code store for custom implementation of some machine learning algorithms from scratch.

This is a project where i am learning to use MLFlow tool which is a good alternative to logging process and provides various methods and functionality which are demonstrated in this project.

Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.

Recommender System 2019 Challenge PoliMi

Wine-Ops Official Webpage

an extension of signed sklearn.linear_model.ElasticNet

Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi

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

The objective of the competition was to create the best recommender system for a book recommendation service by providing 10 recommended books to each user. The evaluation metric was MAP@10.

A machine learning application aimed at predicting employee salaries based on various features such as experience, education level, location, etc. By using different models and techniques, the project seeks to present an optimized model for salary predictions.