rfecv
There are 22 repositories under rfecv topic.
AutoViML/featurewiz
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
Hameem1/Step-Detection-using-Machine-Learning
Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.
junayed-hasan/occupational-stress-ml
This repository contains code, datasets, and analysis for AI-driven occupational stress detection using machine learning, deep learning, and NLP. It includes feature selection, explainable AI, synthetic data generation, and model validation for workplace safety applications. 🚀
nalron/project_credit_scoring_model
Développer un modèle de scoring de la probabilité de défaut de paiement du client pour étayer la décision d'accorder ou non un prêt à un client potentiel.
mohd-faizy/feature-engineering-hacks
This repository contains a collection of hacks and tips for feature engineering. It is a great resource for anyone who wants to learn how to improve the performance of their machine learning models.
RuiFSP/mlzoomcamp2024-midterm-project
Midterm project for mlzoomcamp 2024
attilalr/RFE-cross-validation
RFE (Recursive Feature Elimination) with cross-validation
gitakartika/antioxidant-protein-classification
Classify antioxidant property on protein sequence based on protein sequence feature
KevinAbrahamRepo/Data-Analytics-Projects
Big data manipulation and modelling projects
rakibhhridoy/MachineLearning-FeatureSelection
Before training a model or feed a model, first priority is on data,not in model. The more data is preprocessed and engineered the more model will learn. Feature selectio one of the methods processing data before feeding the model. Various feature selection techniques is shown here.
BurakMarangoz/End-to-End-ML-Projects-With-Pipeline
End to End Machine Learning Projects Examples
DataScienceVishal/Bank_Customer_Behaviour
Bank Customer Behaviour Prediction
dfavenfre/customer_deposit_classifier
Streamlit app developed for bank customer deposit prediction, using a fine-tuned XGBClassifier model.
HenyerM/Creating-a-Kaggle-Workflow
In this project we're going to explore a workflow to easily compete in the Kaggle Titanic competition, using a pipeline of functions to reduce the number of dimensions you need to focus on.
kaur-anupreet/HR-Analytics-Employee-Churn-Prediction
Explored data using data visualisation and exploratory data analysis. Used Logistic Regression to create a basic prediction model. Improved model using recursive feature elimination.
kumaranurag7/Retail-Price-Analysis-and-Prediction
We have a data of retail transactions over two year. Apart from data analysis and visualization, a regression model is developed to predict the price of retail items belonging to different categories. Foretelling the Retail price can be a daunting task due to the huge datasets with a variety of attributes ranging from Text, Numbers(floats, integers), and DateTime. Also, outliers can be a big problem when dealing with unit prices.
SitanshuA091/Churn-Prediction
Churn Prediction Web Application for streamlit
Upendra-Allagadda/Diabetes-prediction-using-machine-learning
Hospitals contain large databases. We can use that data to discover new useful and potentially life saving knowledge. Here we use datamining especially to predict type 2 diabetes mellitus.Predicting the percentage of chance of occurrence of Diabetes mellitus type 2 with less time complexity and high accuracy.
hanfei1986/Random-forest-and-RFECV
This Jupyter notebook demonstrates a Recursive Feature Elimination with Cross-Validation (RFECV) feature selection process with a random forest model.
yerartdev/tfm-pb
Trabajo fin de máster de ciencia de datos UC-UIMP-CSIC 2018-2019