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Lucas Murtinho's Projects

aind2-cnn icon aind2-cnn

CNN projects for term 2 of Udacity's Artificial Intelligence Nanodegree.

course3proj icon course3proj

Repo for the course project of "Getting and Cleaning Data" (3rd part of Data Science Specialization from Coursera/Johns Hopkins)

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

domino_learning icon domino_learning

A program that learns to play dominoes through reinforcement learning.

exkmc icon exkmc

Expanding Explainable K-Means Clustering

exshallow icon exshallow

Code for the paper "Shallow decision trees for explainable k-means clustering".

howtoproveit icon howtoproveit

Summary and solutions for How to Prove It - 2nd Edition by Daniel J. Velleman

hull icon hull

Analysis of Blair Hull's "A Practicioner's Defense of Return Predictability"

metaheuristicas icon metaheuristicas

Projeto da aula de meta-heurísticas do Mestrado de Informática da PUC (2018.01)

mlalgos icon mlalgos

Machine learning algorithms developed by me in order to better understand them.

mle_ps1 icon mle_ps1

MLND, PS1: Predicting Boston Housing Prices

mle_ps2 icon mle_ps2

MLND, PS2: Build a Student Intervention System

sizeconstrainedspacing icon sizeconstrainedspacing

Algorithms for maximizing inter-group clustering with a constraint on the minimum size of clusters.

smartcab_planner icon smartcab_planner

A setup to build a planner for the smartcab from Udacity's MLEND Project 4

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