There are 1 repository under elasticnet topic.
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
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
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
Model that uses 10 different algorithms to predict the revenue of a movie before it's release
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.
📈 Stock Price Prediction using ElasticNetCV | 🥈 Dacon Top 5%
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.
Predicting the Residential Energy Usage across 113.6 million U.S. households using Machine Learning Algorithms (Regression and Ensemble)
Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
HackerEarth Machine Learning Challenge to Predict the employee attrition rate in organizations. This repository contains my solution of achieving rank 300 (best 161)
Final project for the 2019 Colombia Data Science for All (DS4A) program.
Data Science Capstone Project Using NLP to classify articles as Bullish/Bearish and or Important.
Predicting house price
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
A Study of the Effect of YouTube Tech Channels on the Revenue of Newly Released Devices
This repository contains code for training an ElasticNet regression model using MLflow. The model predicts the quality of wine based on various features.
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.
R package: Computes the solution path of the multivariate Scalar-on-Functional Elastic Net regression in serial and parallel.
Prediction of Bitcoin Close Price using machine learning algorithms in R.
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.
Exploratory Data Analysis and Feature Engineering on Violent Crime dataset from Kaggle and performing regression analysis to predict the crime rate per 100k population. This project compared the performances of Linear Regression, PLS, regularized models like Ridge regression, Lasso and Elastic Net models, and SVR models.
Nested Cross-Validation for Bayesian Optimized Linear Regularization
Predicting the Critical Temperature of Superconductors using numerous Machine Learning techniques along with a comparative analysis of their performances.
Code store for custom implementation of some machine learning algorithms from scratch.
Predict the quality of red wines using linear models.
Predicting the survival rate of Lung Cancer Patients using Machine Learning
This project is about the prediction of red wine quality using different machine learning algorithms with MLOps and CICD pipeline.