Discover @renatokano Open Source projects

Renato Kano (@renatokano)

renatokano

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35
Global Rank 438,984 (Top 16 %)
Followers 9
Following 16
Registered almost 12 years ago
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22.2 %

JavaScript
22.2 %

HTML
22.2 %

Apex 5.6 %

Python
5.6 %

Shell
5.6 %

Java
5.6 %

CSS
5.6 %

Ruby
5.6 %
Location 🇧🇷 Brazil
Country Total Rank 9,430
Country Ranking

Apex 29

Jupyter Notebook
1,771

Ruby
2,088

HTML
2,840

Shell
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tooke_utils

Tooke Utils - this tool allows the generation, validation and formatting of CPF and CNPJ.

dh-super-pets

[SuperPets] Platform which connects the best professionals in the pet-market with pet owners.

sf-salesforce-dev-org

[Salesforce] A Developer Edition Organization for testing some codes using Salesforce Extension Pack and VSCode

dh-challenge-bootstrap

A Digital House challenge involving the use of html5, css3 and bootstrap-framework.

dh-challenge-flexbox

A Digital House challenge involving the use of **flexbox** to organize the flow of html elements.

rs-bootcamp-challenge-1

🚀[RocketSeat] Bootcamp Challenge 1 - NodeJS Fundamentals

cn-feature-engineering

[Codenation] Feature Engineering

Jupyter Notebook

mrt-fullcycle2

dh-pizzaria-express

dh-fake-instagram

[DigitalHouse] Bootcamp Challenge - An Instagram Clone (Frontend + Backend) created with NodeJS, Express, Sequelize and MySQL

dh-challenge-consuming-api

[DigitalHouse] Challenge - build an application that uses NewsAPI to retrieve articles from news sources and blogs all over the web at https://newsapi.org/v2

cn-credit-score-challenge

[Codenation] DataScience 2020 - Credit Score's Challenge (Module 3)

Jupyter Notebook

cn-feature-selection-and-dimensionality-reduction

[Codenation] Feature Selection w/ Recursive Feature Elimination (aka RFE) and Dimensionality Reduction using Principal Component Analysis (aka PCA)

Jupyter Notebook

dh-challenge-jane-doe

Just a small challenge proposed in the FullStack Javascript Bootcamp at DigitalHouse

weka-api

Showing how to use Weka API to explore some powerful tools like Classification (Supervised and Unsupervised), some Filters (Discretize, Attribute Selection, so forth), how to do Bagging, Boosting and others powerful meta-classification techniques, all that need to be present in toolbox of any Data Scientist.

dh-fullstack-santander

Full Stack NodeJS studies at Digital House Sao Paulo - A bootcamp course sponsored by Santander Universidades

cn-pulsar-star-challenge

[Codenation] Explore the main functions of probability distributions such as PDF, CDF and quantiles, and the relationships between normal and binomial distributions. We will also explore the 'Pulsar Star' data set provided by Dr. Robert Lyon (University of Manchester).

Jupyter Notebook

sklearn_transforms

This is a sample python package for encapsulating custom transforms from scikit-learn into Watson Machine Learning (WML)