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Automated Machine Learning Hands on AutoML for beginners
Rating: 4.4 out of 5(33 ratings)
334 students

Automated Machine Learning Hands on AutoML for beginners

How to use AutoML in python AutoML in practise What is Automated Machine Learning
Created byDan We
Last updated 7/2024
English

What you'll learn

  • A hands on overview of free python automl packages and how to use them
  • What is automl
  • How to use automl in python
  • Automated machine learning in practise

Course content

2 sections • 18 lectures • 2h 27m total length

  • Resources0:01
  • 2 AutoML hands on for beginners intro7:16
  • Important note0:30
  • 3 Auto EDA18:41
  • 4 The 1st AutoML Library Regression example14:06

    Explore AutoML, built on TensorFlow, through the first AutoML library regression example, using a train/test split, max trials, and mean squared error evaluation.

  • 5 The 1st AutoML Library Classification example6:57
  • 6 The 2nd AutoML Library Regression example13:19
  • 7 The 2nd AutoML Library Classification example6:30
  • Important note0:24
  • 8 The 3rd AutoML Library Regression example13:39
  • 9 The 3rd AutoML Library Classification example6:51
  • 10 The 4th AutoML Library Regression example10:51
  • 11 The 4th AutoML Library Classification example4:58

    Learn to use an AutoML library for classification on the wine dataset: split data, train multiple models, evaluate with accuracy, and visualize leaderboard results with plots.

  • 12 The 5th AutoML Library Regression example9:58
  • 13 The 5th AutoML Library Classification example9:55
  • 14 The 6th AutoMLLibrary Regression example13:25
  • 15 The 6th AutoML Library Classification example10:25

Requirements

  • We only use free AutoML libraries
  • Python knowledge is helpful - this is not a "learning python" class
  • AutoML requires us to write some python code but not a lot

Description

What is Automated Machine Learning (AutoML)

Will Automated Machine Learning replace Datascientists?

How to use AutoML in python

What AutoML options are available and free to use?


If you are a beginner and want answers to those questions and try AutoML yourself then this course is for you.

Here we go through various AutomatedMachine Learning (and Deep Learning) frameworks which are currently available (not an extensive list of course there are many more).

The main goal is to get an overview of what AutoML is and how to use it in python. We focus on free AutoML libraries instead of commercial ones so that you can follow along and try them yourself. The course has demo datasets for regression as well as a classification task so we see both supervised learning tasks for each AutoML libary we are going to cover.

Feel free to try out Automated Machine Learning with your own data as well

For this course you should have used Python before (Even AutoML requires us to write a tiny little bit of code)


Please also understand what this course is not

This course does not offer:

A basic introduction to what is ML/DL or an introduction to python

An in-depth  theoretic dive into each hyperparameter which can be adjusted / tuned

An all-in-one solution for every project you want to take in the future


This course does offer:

hands on code examples on how to apply those libraries on demo datasets

Specific relevant information for each library you need to be aware of when you use it

Helpful tools for any data scientist of business person who wants to reduce redundant and repetitive tasks and free some time to focus on the main steps in the data science life cyclle

Who this course is for:

  • You want to get an overview over automl
  • You want to use automl for free
  • hands on code example on how to apply those libraries on demo datasets
  • This course is NOT A basic introduction to what is ML/DL or an introduction to python
  • This course is NOT a data science theory course
  • This course is NOT an in-depth dive into each hyperparameter which can be adjusted / tuned

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