An R package for selecting variables in regression models

This repository exhibits the power and the importance of domain knowledge(in this case, it's English grammar) in building good features and a good model. However, if you want to solve this problem today, my recommendation would be train a Bi-directional LSTM model - Primarily, because of the availability of ready made, free and massive amount of…

Predicting which iPads listed on EBay will be sold Independent project - Kaggle competition as part of MIT course 15.071x The Analytic Edge

Each code snippet tries to tell a story from the Text Mining world.

Regression Techniques in Python on Kaggle

feng - feature engineering for machine-learning champions

Generate balanced uint64 hash for string. Widely used in the generation of feature id in machine learning.

It can detect the human activity only from smartphone sensor data.

This capstone project aims to utilize machine learning to predict the earning power of a room rented out on Airbnb.

A curated list of feature engineering techniques for image and text machine learning

Built fraud detection classifiers using gaussian naive bayes and decision tress to identify POIs (persons of interests) and applied machine learning techniques such as features selection, precision and recall, and stochastic gradient descent for optimization in Python.

viterbi impl for semi-CRF capitalization IO model

Applied ML algorithms on Enron Dataset to predict Person of Interest (POI)

Kaggle competition

Materiais Meetup de Machine Learning de BH

Airbnb price prediction

An insight to analyzing Titanic survival using decision trees and ensemble methods

Restaurant Price Tier ($) Predictor using LDA, Topic modeling and Featuring, classification using Python.