ecordeiro Goto Github PK

asn-python

asn_r_intro

asn_yochi

Este trabalho tem o objetivo de ajudar a empresa a melhorar a aprovação de crédito .

cefet

covid-alura

cursos

Este repositório abriga todos os arquivos de código dos cursos do site Computer Science Master.

data-science-blogs

A curated list of data science blogs

data_science

Aqui você encontra os notebooks dos meus projetos na área de Data Science, Machine Learning e Deep Learning.

data_science-1

Notebooks de análises e projetos de Data Science em Python

deeplearningbook

Repositório do Deep Learning Book - www.deeplearningbook.com.br

desafio

docker-project-template

Template of docker and docker-compose for simple django projects

files

Repositorio de Arquivos

guide-to-any-classification-problem-

kaggle--titanic-surival-prediction

<b> The competition is simple: use machine learning to create a model that predicts which passengers survived the Titanic shipwreck. </b> Website link: https://www.kaggle.com/c/titanic/ Using Neural Networks got an accuracy of 0.77 on test data. <b> The Challenge <b> On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew. While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others. In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc). <b> Goal </b> It is your job to predict if a passenger survived the sinking of the Titanic or not. For each in the test set, you must predict a 0 or 1 value for the variable. <b> Metric <b> Your score is the percentage of passengers you correctly predict. This is known as accuracy. <b> Submission File </b> The file should have exactly 2 columns: PassengerId (sorted in any order) Survived (contains your binary predictions: 1 for survived, 0 for deceased)

kaggle-titanic-solution

How I scored in the top 1% of Kaggle's Titanic Machine Learning Challenge

machine-learning-imbalanced-data

Code repository for the online course Machine Learning with Imbalanced Data

machinelearning_portugues

Arquivos das aulas de Machine Leaning em Português (python + scikit-learn - https://www.youtube.com/playlist?list=PL4OAe-tL47sb3xdFBVXs2w1BA2LRN5JU2_)

ml-python

ordinalencoder-vs-onehotencoder

Comparing sklearns OrdinalEncoder to OneHotEncoder

pacote-desafios-pythonicos

Pacote Desafios Pythônicos

powerbi-datascience

Repositório do Curso Microsoft Power BI Para Data Science

projetoflores

What the Package Does (One Line, Title Case)

public-apis

A collective list of free APIs

pysus

Library to download, clean and analyze openly available datasets from Brazilian Universal health system, SUS.

pythonfundamentos

Repositório do Curso Online Python Fundamentos Para Análise de Dados.

regressao_linear_r

sql-asn-1

stock-prediction

talks

Conjunto de palestras das edições do evento Python Brasil