'start with a simple model'

This page summarizes the projects mentioned and recommended in the original post on /r/datascience

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  • rpart

    :exclamation: This is a read-only mirror of the CRAN R package repository. rpart — Recursive Partitioning and Regression Trees. Homepage: https://github.com/bethatkinson/rpart, https://cran.r-project.org/package=rpart Report bugs for this package: https://github.com/bethatkinson/rpart/issues (by cran)

    It seems like in rpart (which is the decision tree package), there is a check for if the factor is an ordered factor and if so it treats it as continuous but otherwise I don’t think so, and it splits on the category directly: https://github.com/cran/rpart/blob/master/R/rpart.R

  • mljar-supervised

    Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

    I recommend trying my AutoML package. You can easily check many different algorithms. Waht is more, the baseline algorithms are checked (major class predictor for classification and mean predictor for regression). The advance of AutoML is that it is really quick. You dont need to write preprocessing code, just call fit method.

  • WorkOS

    The modern API for authentication & user identity. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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