elasticnet
There are 82 repositories under elasticnet topic.
civisanalytics/python-glmnet
A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.
hiroyuki-kasai/SparseGDLibrary
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
jayanthkoushik/torch-gel
Group elastic net implementation in PyTorch.
MHassaanButt/Antenna-design-using-ML
In this project, I applied different regression models for rmse and mae on antenna dataset for predict signal strength.
silvermete0r/oikan
OIKAN is a neuro-symbolic machine learning framework inspired by Kolmogorov-Arnold representation theorem. It combines the power of modern neural networks with techniques for extracting clear, interpretable symbolic formulas from data. OIKAN is designed to make machine learning models both accurate and Interpretable.
SamueleMeta/recommender-systems
Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
hanfang/glmnet_py
glmnet for python
joeyism/nnnba
Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season
vishnupriyanpr/SaleFore-AI
SaleFore AI: Ultra-accurate sales forecasting using ensemble ML (XGBoost, LightGBM, CatBoost) with RTX 4060 GPU optimization. Achieves 88-95% accuracy with advanced hyperparameter tuning.
fangvv/ElasticNetADMM
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"
hkiang01/Applied-Machine-Learning
Applied Machine Learning
CY-dev/sparseSVM
Solution Paths of Sparse Linear Support Vector Machine with Lasso or ELastic-Net Regularization
nipun-goyal/Residential-Energy-Consumption-Prediction
Predicting the Residential Energy Usage across 113.6 million U.S. households using Machine Learning Algorithms (Regression and Ensemble)
FarhanaTeli/Factors-Influencing-US-Home-Prices
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.
Lodz97/RecSys-PoliMi-2020
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.
PermanAtayev/Movie-revenue-prediction
Model that uses 10 different algorithms to predict the revenue of a movie before it's release
SebastianRokholt/Soccer-Predictions
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.
snoop2head/elastic-stock-prediction
📈 Stock Price Prediction using ElasticNetCV | 🥈 Dacon Top 5%
CarlosLlano/ds4a-app
Final project for the 2019 Colombia Data Science for All (DS4A) program.
nickkunz/nestedhyperline
Nested Cross-Validation for Bayesian Optimized Linear Regularization
simonefinelli/RedWineQuality
Predict the quality of red wines using linear models.
StivenMetaj/Recommender_Systems_Challenge_2020
Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
djporterco/DSI-Capstone
Data Science Capstone Project Using NLP to classify articles as Bullish/Bearish and or Important.
isi-mube/Iron-Labs
A repo to store and share solved data analytics assignments and side projects during my bootcamp at Ironhack.
Katerinafomkina/House-Predicting-Advanced-Regression-Techniques
Predicting house price
keshavbhandari/Predicting-Customer-Return
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
MohammedAHO/youtube-regression-project
A Study of the Effect of YouTube Tech Channels on the Revenue of Newly Released Devices
ozerzeynep/KONTR_FIRMA_ANALIZ
Bu proje, Kontr firmasının borsa verilerini kullanarak hisse senedi fiyatlarının gelecekteki değerlerini tahmin etmeye yönelik gelişmiş makine öğrenimi modelleri içerir. Farklı algoritmalarla performans analizi yaparak yatırım kararlarını destekleyici öngörüler sağlar.
shaadclt/ElasticNet-MLflow-Regression
This repository contains code for training an ElasticNet regression model using MLflow. The model predicts the quality of wine based on various features.
twin-ai/formula-ai-hack
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.
Ali-Mahzarnia/MFSGrp
R package: Computes the solution path of the multivariate Scalar-on-Functional Elastic Net regression in serial and parallel.
AndreaRiboni/RecSys-Polimi-2022-Challenge
Code for Recommender Systems challenge 2022/23 in Polimi
coolmunzi/webapp_mlops
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.
Dhanush-R-git/MLoperations-project-with-mlflow
This project involves building a end to end ML to predict the quality of wine based on various chemical properties. The dataset used includes features such as acidity, sugar content, pH level, and alcohol content. The goal is to provide an accurate prediction of wine quality on a scale from 0 to 10.
Furk4nBulut/Hitters-Salary-Prediction
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.
saranggalada/ML_Superconductivity
Predicting the Critical Temperature of Superconductors using numerous Machine Learning techniques along with a comparative analysis of their performances.