ledmaster

notebooks_tutoriais

Aqui você encontrar notebooks para alguns vídeos do meu canal no Youtube

TimeSeriesForecasting

Material for the Time Series Forecasting article

TutorialTitanic

gpt-summarizer

A scrappy Jupyter notebook to summarize long podcasts, youtube videos, etc

TutorialEnsemble

Arquivos para o tutorial do artigo Tutorial: Aumentando o Poder Preditivo de Seus Modelos de Machine Learning com Stacking Ensembles

meli2020

9th (public) place solution to MeLi Data Challenge 2020

learningcandlesticks

http://mariofilho.com/can-machine-learning-model-predict-the-sp500-by-looking-at-candlesticks/

tw-bert

Implementation of End-to-End Query Term Weighting (TW-BERT)

english_tutorials

recomendacaomachinelearning

Material do artigo: Como Criar um Sistema de Recomendação de Produtos Usando Machine Learning

machinelearninginadimplencia

Material do artigo: Será Que Seu Cliente Vai Te Pagar? Usando Machine Learning Para Prever Inadimplência

multiple_steps_neural_network

How To Use Neural Networks to Forecast Multiple Steps of a Time Series

unified-embeddings

Implementation of Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems

clippy-adagrad

PyTorch Implementation of Improving Training Stability for Multitask Ranking Models in Recommender Systems

machine-learning-success

How did you successfully apply machine learning in a company? Here we share the impact that deployed machine learning systems made on business related metrics.

swing

Implementation of the Swing Algorithm for Substitute Product Recommendation in Python

AvitoSolution

Solução para a competição da Avito no Kaggle

Kaggle_CrowdFlower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

TSPBrasil

Material sobre o artigo "Usando Otimização Para Aproximar a Menor Rota Entre Mais de 5.500 Municípios Brasileiros" publicado no site MarioFilho.com

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

AvazuSolution

Material do artigo sobre a competição Avazu

CourseraCompDataAnalysis

Code for the course Computational Methods for Data Analysis on Coursera

ec2SpotPrices

Uses boto to retrieve current spot instance prices on Amazon EC2.

fixes

ledmaster

multiple_steps_neural

nolearn

scikit-learn compatible wrappers for neural net libraries, and other utilities.

numerapi

Python API and command line interface for the numer.ai machine learning competition

OnlineSVMPegasos

Code and dataset for the article on implementation of Online SVM using Pegasos

Robyn

Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency a