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Name: Jonathan Mallia
Type: User
Location: Malta
Name: Jonathan Mallia
Type: User
Location: Malta
Artificial Intelligence projects, documentation and code.
3rd place solution for the Avito Context contest on kaggle.com
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
Two custom ways of calculating cross_val_score
A curated set of resources for data science, machine learning, artificial intelligence (AI), data and text analytics, data visualization, big data, and more.
Data Science Coursera
Programming assignments for John Hopkings/Coursera Data Science Specialization
http://DataScienceSpecialization.github.io
DataSharing cloned from https://github.com/jtleek/datasharing
Using Deep Autoencoders for predictions of movie ratings.
Developing Data Products Course from the Johns Hopkins Data Science Lab
Predicting Employee Churn with Supervised Machine Learning
A Monte Carlo analysis of strategic voting in Eurovision Song Contest
Plotting Assignment 1 for Exploratory Data Analysis
The fastai deep learning library, plus lessons and and tutorials
This repository contains the code to generate predictions of critical violations at food establishments in Chicago. It also contains the results of an evaluation of the effectiveness of those predictions.
R/Rcpp implementation of the 'Follow-the-Regularized-Leader' algorithm
Project for Coursera course named Getting and Cleaning Data
more data science resources
Kaggle: Predict the relevance of search results
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
kaggle competition for instacart market basket analysis
Public repo for the Data Science Dojo YouTube tutorial series "Introduction to Text Analytics with R".
Kaggle competition results
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.