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.

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

Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi

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

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

📈 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

Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi

Using publicly available data for the national factors that impact supply and demand of homes in US, build a data science model to study the effect of these variables on home prices.

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.

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.