Pinned Repositories
Book_Recommender
A simple book recommender built with flask. Model deployed on yhat and application deployed on Heroku.
dataweek-workshop
Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.
DayOne_LCP
Actions in Launch Center Pro to create quick entries in Day One
dotfiles
.files, including ~/.osx — sensible hacker defaults for OS X
Machine-Learning---Coursera
Documents and Code for the Machine Learning Class by Andrew Ng
Open-Data
Collection of interesting open datasets that I find on the web
mickaellegal's Repositories
mickaellegal/dataweek-workshop
Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.
mickaellegal/DayOne_LCP
Actions in Launch Center Pro to create quick entries in Day One
mickaellegal/Open-Data
Collection of interesting open datasets that I find on the web
mickaellegal/Book_Recommender
A simple book recommender built with flask. Model deployed on yhat and application deployed on Heroku.
mickaellegal/dotfiles
.files, including ~/.osx — sensible hacker defaults for OS X
mickaellegal/Machine-Learning---Coursera
Documents and Code for the Machine Learning Class by Andrew Ng
mickaellegal/alchemyapi_python
A sdk for AlchemyAPI using Python
mickaellegal/Article_Classifier
Little web app that classifies your text based on a corpus of New York Times articles.
mickaellegal/cookiecutter-pypackage
Cookiecutter template for a Python package. See https://github.com/audreyr/cookiecutter.
mickaellegal/coursera
Script for downloading Coursera.org videos and naming them.
mickaellegal/d3
A JavaScript visualization library for HTML and SVG.
mickaellegal/data-science-curriculum
This is a collaborative attempt to define what belongs in a data science curriculum to productively advance the field forward. Fork this repo and submit pull requests if you would like to contribute (or open an issue)
mickaellegal/DataGotham2013
mickaellegal/flask-heroku
Heroku environment variable configurations for Flask.
mickaellegal/flask_heroku
An easy-to-use Flask template for Heroku.
mickaellegal/FlaskApp
Tutorial deployment of a flask app on Heroku
mickaellegal/HackerRank
Code from HackerRank Challenges
mickaellegal/impress.js
It's a presentation framework based on the power of CSS3 transforms and transitions in modern browsers and inspired by the idea behind prezi.com.
mickaellegal/mickaellegal.github.io
Website
mickaellegal/Notebooks
A collection of my iPython Notebooks
mickaellegal/packages-report
Scaffold for a rstudio::conf workshop challenge
mickaellegal/Popart
Predicting the popularity of articles on the web
mickaellegal/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
mickaellegal/pylearn2
A Machine Learning library based on Theano
mickaellegal/rdio-simple
Simple Libraries to access Rdio's Web API
mickaellegal/reveal.js
The HTML Presentation Framework
mickaellegal/rstudio-conf-2018
Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2018
mickaellegal/scikit-learn
scikit-learn: machine learning in Python
mickaellegal/The-Nature-of-Code-Examples
Repository for example code from The Nature of Code book
mickaellegal/Will_it_Python
Translating R Data Analyses to Python