Paulo Arantes's repositories
art-project
Capstone project for Galvanize
mini-rogue-python
Python implementation of Mini Rogue PnP card game
ai-sudoku
AI agent that solves Sudoku (including diagonal and naked twins strategies)
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
apola-dl-notebook
Jupyter notebook docker server with TensorFlow, Caffe, iTorch and more.
ML_SageMaker_Studies
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going).
computer-science
:mortar_board: Path to a free self-taught graduation in Computer Science
coursera-ML
use numpy and tensorflow to implement these basic ML model and learning algorithm
coursera-neural-net
Assignments for Geoffrey Hinton's Neural Net Course on Coursera, translated from (gross)Matlab into (beautiful)Python.
CS570
Code for CS570, Essentials of Data Science
ctci
Cracking the Coding Interview, 5th Edition
data-science-primer
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
DeepLearningBook
MIT Deep Learning Book in PDF format
graph-hack-sfo-2016
Graph Hack at Graph Connect SFO 2016
intro-to-sklearn
Notebooks covering introductory material to ML, ML with sklearn and tips.
lawyer-case-recommender
Capstone project for Galvanize
oreilly-rl-tutorial
Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.
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 ;)
tensorflow
Computation using data flow graphs for scalable machine learning
UnbalancedDataset
Python module to perform under sampling and over sampling with various techniques.
word2vec-workshop
word2vec workshop - covers the concept understanding of the algorithm and practical application