How to use AutoML Python tools to automate your machine learning process

Welcome to How to use AutoML Python tools to automate your machine learning process. You'll use a time series forecasting problem as an example.

By following this tutorial, you’ll learn:

✅What is AutoML, and how to use it in Python?
✅How to use popular and free Python AutoML libraries:
✅H2O
✅TPOT
✅PyCaret
✅AutoGluon

00:00 Intro
04:00 Preprocess the dataset
06:19 H2O
10:40 TPOT
14:50 PyCaret
18:02 AutoGluon

If you are interested in learning AutoML to see which tool is best for your need, this practical tutorial will get you started.

Technologies that will be used:
☑️ JupyterLab (Notebook)
☑️ pandas
☑️ sklearn
☑️ h2o
☑️ tpot
☑️ pycaret
☑️ autogluon

Links mentioned in the video

►Installation guides:

[isaacgroen]

thank you for this! you should know that xgboost available on pip works on my windows machine just fine :) the same goes for other libraries you mentioned to only run on linux.