elasticnet

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

glmnet for python

Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi

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

Folders containing different regression and greedy methods for analysis of high dimensional data.

Applied Machine Learning

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

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"

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

📈 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

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.

Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi

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

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