marcelotournier Goto Github PK
Name: Marcelo Tournier
Type: User
Bio: Physician. Arduino fan. Big Data Fanatic. I code in Scala, Python, Rust, R, Java, Shell and a tiny tiny tiny bit of Arduino C.
Location: San Francisco CA
Marcelo Tournier's Projects
activityinequality
Data release for Activity Inequality paper
air_france_business_case
Natural Language Processing (NLP) Analysis of AirFrance Digital Marketing Strategy
ammonite-fat-jar
The Scala Ammonite Interpreter, in a single JAR file.
apple-dead-keys
Remap keys to fix my apple keyboard
arduino_sketches
sketches for arduino projects
autoscripts
Automatically install all scripts you put in the "./bin" folder of this repository
besthospitals
biopsy-logit
Predicting Breast Cancer using multivariate binomial logistic Regression in R
birthweight_pyspark
PySpark modeling - birthweight prediction
case-report-dataset
XML Dataset with more than 200,000 case report article abstracts from Pubmed
colab
runtime for colab
course4-project1
course5-p1
ctakes-fat-jar
cv-tricks.com
Repository for all the tutorials and codes shared at cv-tricks.com
datasciencecoursera
datasharing
The Leek group guide to data sharing
decision_tree_cancer
Decision tree method applied to cancer data
eleicoes2022
Scripts para análise de dados das Eleições brasileiras de 2022
elizabete
A translation to brazilian portuguese for the Python implementation of ELIZA Chatterbot
esp32-micropython
How to configure esp32 with micropython
exdata_plotting1
Plotting Assignment 1 for Exploratory Data Analysis
fitbit-python3.py
FitBit Python3 Library
gaussianmixtureclustering
Study of Gaussian Mixture and the Expectation-
google_cloud_deploy
Script to create SSH Access with keys for new Google Cloud Servers
googledeathtrends
Query on Google Trends about causes of death
got_survival_analysis
Predictive model to identify risk factors associated with mortality in the Books of Game of Thrones
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
har_uci
healthontology101
Spark + Pytorch + BERT + Ontology TripleStore Parser + Knowledge Graph Builder demo, for NLP Summit 2021
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