Skip to content
#

statsmodels

Here are 123 public repositories matching this topic...

StrikerRUS
StrikerRUS commented Oct 18, 2019

I'm sorry if I missed this functionality, but CLI version hasn't it for sure (I saw the related code only in generate_code_examples.py). I guess it will be very useful to eliminate copy-paste phase, especially for large models.

Of course, piping is a solution, but not for development in Jupyter Notebook, for example.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

  • Updated Mar 11, 2019
  • Jupyter Notebook
danielhanchen
danielhanchen commented Aug 29, 2018

Hey Contributor!

Thanks for checking out HyperLearn!! Super appreciate it.

Since the package is new (only started like August 27th)..., Issues are the best place to start helping out, and or check out the Projects tab. There's a whole list of stuff I envisioned to complete.

Also, if you have a NEW idea: please post an issue and label it new enhancement.

In terms of priorities, I wanted

This repo contains various data science strategy and machine learning models to deal with structure as well as unstructured data. It contains module on feature-preprocessing, feature-engineering, machine-learning-models, bayesian-parameter-tuning, etc, built using libraries such as scikit-learn, keras, h2o, xgboost, lightgbm, catboost, etc.

  • Updated Jul 1, 2020
  • Python

Improve this page

Add a description, image, and links to the statsmodels topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the statsmodels topic, visit your repo's landing page and select "manage topics."

Learn more

You can’t perform that action at this time.