Jonathan Mallia's repositories
NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
ai-projects
Artificial Intelligence projects, documentation and code.
competitive-data-science
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
Deep-Autoencoders-For-Collaborative-Filtering
Using Deep Autoencoders for predictions of movie ratings.
Employee-Churn-Predictive-Model
Predicting Employee Churn with Supervised Machine Learning
EuroVision
A Monte Carlo analysis of strategic voting in Eurovision Song Contest
fastai
The fastai deep learning library, plus lessons and and tutorials
FTRL
R/Rcpp implementation of the 'Follow-the-Regularized-Leader' algorithm
Hanhan_Data_Science_Resources2
more data science resources
hyperparameter-optimization
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
IntroToTextAnalyticsWithR
Public repo for the Data Science Dojo YouTube tutorial series "Introduction to Text Analytics with R".
kaggle_mercedes
The 11th place solution of Mercedes-Benz Greener Manufacturing competition on Kaggle
KaggleLib
A library of most useful basic functions for Kaggle competitions
keras
Deep Learning for humans
Machine-Learning-with-Python
Python codes for common Machine Learning Algorithms
medium
A collection of Medium posts
MLPB
Machine Learning Problem Bible | Problem Set Here >>
myhybrid
Demo of a Reticulated Shiny App, using NREL's FASTSim model to compare vehicle MPGs for a user defined trip.
nn_project
Project repository for Neural Networks course where we solve the Santander Customer Transaction Prediction Kaggle competition
nyt-nlp-capstone
Data Science Capstone analyzing NYT Comments for predicting popularity
poetry_genre_classifier
Classification model for poetic genres and a recommendation system
predictor
Source code for my blog post about "How to predict the success of your marketing campaign"
StackNet
StackNet is a computational, scalable and analytical Meta modelling framework
Text-Classification
Text Classification through CNN, RNN & HAN using Keras
touch_driven_recommender_engines
Farfetch: Understanding the customer