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Product Categorization with Machine Learning
Computational experiments for the paper "A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost" (IJCNN 2021)
Benchmark of current ML automation frameworks
Diego: Data in, IntElliGence Out. A fast framework that supports the rapid construction of automated learning tasks. Simply create an automated learning study (Study) and generate correlated trials (Trial). Then run the code and get a machine learning model. Implemented using Scikit-learn API glossary, using Bayesian optimization and genetic algorithms for automated machine learning. Inspired by [Fast.ai](https://github.com/fastai/fastai).
My Thesis: Auto-ML Tool for IoT Applications Version 1.0
Repositório com projetos utilizando ferramentas e bibliotecas para automatização de etapas de projetos de data science.
Tutorial on Auto_TS : Automatically build ARIMA, SARIMAX, VAR, FB Prophet and ML Models on Time Series data sets with a Single Line of Code
This repo contains code file of all the AutoML libraries.
This repo contains analysis of Lending Club Credit rates and also case study for a client to get a fully funded loan at the lowest credit rate with a desired duration.
Development of a credit scoring model
All AutoML Libraries
Predicting Chronic Kidney Disease using AutoML (AutoSklearn) on Docker container
Predicting future winners of the Ingeborg-Bachmann-Preis with the help of NLP. Has a Flask app and a Rasa chatbot!
This repo's main purpose is to automate the ML process using scikit learn. I have performed the automation process in both classification and Regression