Build a ML Classification Model in 12 Lines with PyCaret

Build a ML Classification Model in 12 Lines with PyCaret

PyCaret is the library for you, it allows you to leverage state of the art ml pipeline to build your machine learning models. You can build a series of ML models using a single function call and automatically rank different models against each other.

Want to get started with low-code machine learning FAST?

Well PyCaret is the library for you, it allows you to leverage state of the art ml pipeline to build your machine learning models. You can build a series of ML models using a single function call and automatically rank different models against each other.

You'll learn how to build a heart disease prediction model using data from kaggle. As part of the process you'll learn how to rapidly prototype a machine learning model to predict a binary outcome.

In this video you'll learn how to:

  1. Instal PyCaret (a low code machine learning library for Python)
  2. Load in custom data from Kaggle using Pandas
  3. Build a PyCaret ML classification model using automated pipelines

Chapters 0:00 - Start 0:51 - Gameplan 1:19 - How it Works 2:38 - 1. Install ad Import Dependencies 5:57 - 2. Load Data 9:40 - 3. Train and Evaluate Model 17:02 - 4. Test Model 19:35 - 5. Saving and Reload Models 21:51 - Wrap Up

Get the code:

https://github.com/nicknochnack/PyCar...

Subscribe: https://www.youtube.com/c/NicholasRenotte/featured

machine-learning pycaret

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