modelselection

anjalisilva/mixMVPLN

R Package to Perform Clustering of Three-way Count Data Using Mixtures of Matrix Variate Poisson-log Normal Model With Parameter Estimation via MCMC-EM, Variational Gaussian Approximations, or a Hybrid Approach Combining Both.

JonasRieger/ldaPrototype

Determine a Prototype from a number of runs of Latent Dirichlet Allocation.

alairdata/CO2-Emissions-Prediction-Model

This project uses supervised machine learning techniques with multiple regression models to predict CO2 emissions in Canada, it includes data cleaning, encoding, analyzing and visualization to identify patterns, resulting in a model that can make accurate predictions.

trbKnl/sparseWeightBasedPCA

An R package for regularized weight based SCA and PCA

bhanukad610/SARIMAX-for-Traffic-volume

SARIMAX model for forecast traffic volume

samagra44/Multiple-Disease-Prediction-System

Multiple Disease Prediction System using Machine Learning.

sghosh89/BIVAN

This repo is for copula based analysis on bivariate as well as multivariate data sets in ecology and related fields. For details and citation we refer to this publication: Ghosh et al., Advances in Ecological Research, vol 62,pp 409, 2020

D-kn/Adult-Income-Dataset

Annual Income Prediction Using Machine Learning

indradhar/Football-Player-Price-Prediciton

Predicting the price of a football player using Machine Learning Algorithms

jibanCat/gp_dla_detection

Detecting Damped Lyman-alpha Absorbers (DLAs) with Gaussian Processes

Keerthiraj-Nagaraj/ML4SCI-hackathon-project

ML4SCI hackathon NMR spin challenge winning project. Training machine learning models for multi-target regression problem.

marcosbeliera/Machine-Learning

Check my projects related to ML feature engineering and modeling.

noahdufresne/Machine_Learning_Portfolio

TelRich/GOT_Character_Death_Prediction

This is a Premiere Project done by Team Gitlab in Hamoye Data Science Program Dec'22. Out of 5 models used on the data, Random Forest Classifier was used to further improve the prediction of characters death. With parameter tuning and few cross validation, we were able to reduce the base error by 5.42% and increase accuracy by 2,42%.

williakn3/Machine-Learning-Project--2

Machine Learning Project

alairdata/Prediction-of-Cancer-Types-using-Gene-Expession

This has been a machine learning quest to classify cancer types using gene expression data, utilizing powerful tools and techniques to preprocess, train and evaluate models. The ultimate goal, to save lives through early diagnosis with high accuracy and precision.

Anithanaidu33/Stock-Prediction

This project aims to predict the future stock prices of various companies using machine learning and deep learning techniques. By analyzing historical stock price data and incorporating relevant features, the goal is to build accurate and robust models that can forecast stock prices over different time horizons.

Arif-Rehman/ExcelR-Assignment---Multi-Linear-Regression-Assignment---5

Multi Linear Regression Assignment - 5

AvaACook/Bank_Fraud_Predictive

Model to predict fraudulent bank applications using a large Kaggle dataset

chrisborges/Model_selection

A dredge function to select the best models through an exhaustive combination of parameters.

Dineshkumar56/Department-Wide-Sales-Prediction

We have been given historical sales data for 45 stores situated in various regions. Each store comprises multiple departments, and our objective is to forecast sales for each department within these stores.

fabiusspop/ML

kpsijil2/Amazon-Employee

Amazon employee data to predict approval/ denial

kpsijil2/Breast-Cancer

Predicting whether or not a cell has cancer.

manujbsharma/Credit_Card-Fraud_Detection

The aim of this project is to predict fraudulent credit card transactions using machine learning models.

MvMukesh/Models-InProduction

Integrated robust and reliable ML Pipelines for Research and Production environment

pankjsalunkhe/Data-Science-Project

End-to-end projects: customer churning prediction using the Random Forest Classifier Algorithm with 97% accuracy; performing pre-processing steps; EDA and Visulization fitting data into the algorithm; and hyper-parameter tuning to reduce TN and FN values to perform our model with new data. Finally, deploy the model using the Streamlit web app.

saishivaniv/Car-Price-Prediction

A web application that employs machine learning models to provide accurate and instant car price estimations based on various features and specifications.

saishivaniv/Heart-Attack-Prediction-Final-project

Tanmoy9563/Treue_Technologies

This is about Treue Technologies Data science Internship tasks.

Vaishnavicodes/Flight-Delay-Analysis

Flight Analysis - Flight Delay

VishalP227/uci-mushroom-dataset

Machine Learning project based on UCI mushroom dataset

alaminbhuyan/Machine-Learning-Metrics

pramodyasahan/model-selection

This repository explores and compares different regression models for predicting continuous outcomes. This repository includes implementations and evaluations of five key regression models. The primary goal is to demonstrate how each model works, evaluate their performance using R-squared values, and guide users in selecting the best model.

ShovalBenjer/Titanic---Machine-Learning-from-Disaster

This project explores machine learning techniques, focusing on data preprocessing, model building, and evaluation. It includes data analysis, visualization, various algorithms, and performance comparison. Key topics: data cleaning, feature engineering, model selection, hyperparameter tuning, and evaluation metrics.