Classification model for poetic genres and a recommendation system

Source code for my blog post about "How to predict the success of your marketing campaign"

Demo of a Reticulated Shiny App, using NREL's FASTSim model to compare vehicle MPGs for a user defined trip.

Farfetch: Understanding the customer

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Project repository for Neural Networks course where we solve the Santander Customer Transaction Prediction Kaggle competition

A Monte Carlo analysis of strategic voting in Eurovision Song Contest

Using Deep Autoencoders for predictions of movie ratings.

Predicting Employee Churn with Supervised Machine Learning

The fastai deep learning library, plus lessons and and tutorials

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

Python codes for common Machine Learning Algorithms

A collection of Medium posts

Data Science Capstone analyzing NYT Comments for predicting popularity

Text Classification through CNN, RNN & HAN using Keras

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

Deep Learning for humans

Artificial Intelligence projects, documentation and code.

Machine Learning Problem Bible | Problem Set Here >>

The 11th place solution of Mercedes-Benz Greener Manufacturing competition on Kaggle

more data science resources

StackNet is a computational, scalable and analytical Meta modelling framework

Public repo for the Data Science Dojo YouTube tutorial series "Introduction to Text Analytics with R".

A library of most useful basic functions for Kaggle competitions

R/Rcpp implementation of the 'Follow-the-Regularized-Leader' algorithm