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. GitHub Repo with code: https://github.com/liannewriting/YouTube-videos-public/tree/main/automl-python-tools Source of the dataset: https://archive.ics.uci.edu/ml/datasets/individual+household+electric+power+consumption Technologies that will be used: ☑️ JupyterLab (Notebook) ☑️ pandas ☑️ sklearn ☑️ h2o ☑️ tpot ☑️ pycaret ☑️ autogluon Links mentioned in the video ►Installation guides: H2O: https://docs.h2o.ai/h2o/latest-stable/h2o-docs/downloading.html#install-in-python TPOT: http://epistasislab.github.io/tpot/installing/ PyCaret: https://pycaret.gitbook.io/docs/get-started/installation AutoGluon: https://auto.gluon.ai/stable/install.html ►To learn Python basics, take our course Python for Data Analysis with projects: https://www.udemy.com/course/python-for-data-analysis-step-by-step/?referralCode=C8B8B507FB1197183455 ►H2O seed reproducibility: https://docs.h2o.ai/h2o/latest-stable/h2o-py/docs/modeling.html?highlight=h2oautoml#h2o.automl.H2OAutoML.seed There's also an article version of the same content. If you prefer reading, please check it out. How to use AutoML Python tools to automate your machine learning process: https://www.justintodata.com/automl-python-tools/ Get access to more data science materials, check out our website Just into Data: https://justintodata.com/