Implementation of the paper on feature subset selection

(National Rank: 22) Analyze This' 18, American Express Data Science Competition

Compared the mean square error and R-Square value using linear model, Lasso and ridge regression

This is a tutorial for Kaggle competition, Titanic Machine Learning From Disaster

Statistical regularization

Using R to demonstrate some feature engineering and selection techniques

A ML library wrapper with the philosophy of fast.ai

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

code examples for backend. Clean Code.

We will construct a model describing the price of the properties in function of some of the features described in the dataset.

The Internet Movie Database (IMDb) is a website that serves as an online database of world cinema. This website contains a large number of public data on films such as the title of the film, the year of release of the film, the genre of the film, the audience, the rating of critics, the duration of the film, the summary of the film, actors, dire…

All relevant feature selection with Boruta.js

A collection of projects as part of the Data Science Masters Program at GreyAtom EduTech Pvt Ltd

A Logistic model for predicting divorce rates among couples, implemented using the sklearn library.

Backward step-wise feature selection using Dask, scikit-learn compatible

Supervised and unsupervised algorthimn analysis on APS Failure at Scania Trucks Dataset

BoomBikes wants to understand the demand for shared bikes among the people after this ongoing quarantine situation ends across the nation due to Covid-19.

Predicting the success or not of a restaurant.