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Paulo Arantes's Projects

ai-sudoku icon ai-sudoku

AI agent that solves Sudoku (including diagonal and naked twins strategies)

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

computer-science icon computer-science

:mortar_board: Path to a free self-taught graduation in Computer Science

coursera-ml icon coursera-ml

use numpy and tensorflow to implement these basic ML model and learning algorithm

coursera-neural-net icon coursera-neural-net

Assignments for Geoffrey Hinton's Neural Net Course on Coursera, translated from (gross)Matlab into (beautiful)Python.

cs570 icon cs570

Code for CS570, Essentials of Data Science

ctci icon ctci

Cracking the Coding Interview, 5th Edition

data-science-primer icon 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/

intro-to-sklearn icon intro-to-sklearn

Notebooks covering introductory material to ML, ML with sklearn and tips.

ml_sagemaker_studies icon ml_sagemaker_studies

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

oreilly-rl-tutorial icon oreilly-rl-tutorial

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

udacimak icon udacimak

Udacity Nanodegree and Course Downloader

unbalanceddataset icon unbalanceddataset

Python module to perform under sampling and over sampling with various techniques.

word2vec-workshop icon word2vec-workshop

word2vec workshop - covers the concept understanding of the algorithm and practical application

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