Source for book "Feature Engineering A-Z"

Marker Selection by matching manifolds and elastic net

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

Using machine learning models to predict if patients have chronic kidney disease based on a few features. The results of the models are also interpreted to make it more understandable to health practitioners.

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

Statistical regularization

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

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

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

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

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

Sample Review & Feature Selection for Audio Datasets

Implementing all ML models and feature selection techniques that can be used.

Exploratory Data Analysis (EDA), Data cleaning & Data preprocessing and Features Engineering,

Official website of UniFeat project

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