Automate machine learning EDA and model building using Pandas Profiling & PyCaret.
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Updated
Nov 16, 2022 - Python
Automate machine learning EDA and model building using Pandas Profiling & PyCaret.
A collection of courses at Master program at Deep Learning department in ITMO University
Surrogarte modelling technique selector
Apprendimento automatico
In this project, I'll be building an image classification model that can automatically detect which kind of vehicle delivery drivers have, in order to route them to the correct loading bay and orders. Assigning delivery professionals who have a bicycle to nearby orders and giving motorcyclists orders that are farther can help Scones Unlimited op…
The Python library of the Khiops AutoML suite
mlim: single and multiple imputation with automated machine learning
Smart Process Analytics (SPA) is a software package for automatic machine learning. Given user-input data (and optional user preferences), SPA automatically cross-validates and tests ML and DL models. Model types are selected based on the properties of the data, minimizing the risk of data-specific variance.
EzStacking: From data to Kubernetes thru Scikit-Learn, FastAPI and Docker in a few clicks and command lines!
SKSurrogate is a suite of tools that implements surrogate optimization for expensive functions based on scikit-learn. The main purpose of SKSurrogate is to facilitate hyperparameter optimization for machine learning models and optimized pipeline design (AutoML).
An automatic machine learning system
Awesome papers on AutoML (Automatic Machine Learning)
Experiments of AutoML/data science packages and solving Kaggle competition in Google Colaboratory or DevContainer/Codespace
Khiops is an AutoML suite for supervised and unsupervised learning
Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.
This repo holds the code, dataset, and running scripts for fast k-means evaluation
Comparison of automatic machine learning libraries
Auto ML for the tidyverse
Package: R Interface to AutoKeras
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