Source for book "Feature Engineering A-Z"

Marker Selection by matching manifolds and elastic net

feseR: Combining feature selection methods for analyzing omics data

Marker gene selection from scRNA-seq data

The Shakespeare-Method repository contains the code we used to develop a new method to identify attributed and unattributed potential adverse events using the unstructured notes portion of electronic health records.

The code for the survey paper of feature extraction

Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈

business analytics course homework assignments

Webapps using Flask for implementation of machine learning sentiment prediction with feature selection PSO and GA with SVM as classifier

Applied Unsupervised Learning techniques on product spending data collected for customers of a wholesale distributor to identify customer segments hidden in the data.

Statistical regularization

The purpose of this paper is to analyze how and how much a film's attributes affect its rating, using several regression techniques.

🇧🇩 Storing data from Bangladesh and will do analysis, visualizations etc.

Zindi competition on predicting the likelihood of credit default of ecommerce clients

Sample Review & Feature Selection for Audio Datasets

Credit Score Prediction is a machine learning project that classifies credit scores ('Good', 'Standard', 'Poor') using a streamlined pipeline. It involves data extraction, cleaning, and preprocessing, with key techniques like Mutual Information for feature selection, PCA for dimensionality reduction, and XGBoost for efficient and accurate model tr

Build an algorithm to best identify potential donors of CharityML

Official website of UniFeat project

Classification & Feature Selection for predicting blood glucose variability in Type 2 Diabetes