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

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

Group elastic net implementation in PyTorch

Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi

In this project, I applied different regression models for rmse and mae on antenna dataset for predict signal strength.

glmnet for python

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

Code for paper "面向物联网隐私数据分析的分布式弹性网络回归学习算法"

Applied Machine Learning

Solution Paths of Sparse Linear Support Vector Machine with Lasso or ELastic-Net Regularization

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

A repository containing the code for a machine learning project about predicting the outcome of soccer matches, including a simple web application built with Flask.

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

Predicting the Residential Energy Usage across 113.6 million U.S. households using Machine Learning Algorithms (Regression and Ensemble)

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.

Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi

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

A Study of the Effect of YouTube Tech Channels on the Revenue of Newly Released Devices

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.

Data Science Capstone Project Using NLP to classify articles as Bullish/Bearish and or Important.