Module 2 - Feature Engineering in Machine Learning


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Feature engineering will level up your machine learning algorithm.  In many cases feature engineering can be as important as, or sometimes more important than the actual machine learning algorithm you use. In this module, you will be introduced to various feature engineering techniques and feature selection strategies.

Learning Outcomes
  • Perform normalization on numeric features
  • Bucket numeric features
  • Transform categorical data based on type
  • Impute missing values based on a specific method
  • Identify Outliers
  • Perform the log transformation of specific features
  • Perform grouping operations on both numeric and categorical features
  • Split raw data into new features
  • Extract additional information from time data
  • Turn transactional data into IID data

Key:

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Session 1(Replay & Slides): Feature Engineering Techniques From an Expert Kaggler
Click on View to access the replay and the slides
Click on View to access the replay and the slides Slides and Replay of our first ML Foundations Course session Module 2.
ML Foundations: Module 2 Session 2: Getting Started With Feature Engineering Hands-On Assignment in H2O-3 (Part 1)
Select the "Read" button to begin.
Select the "Read" button to begin. For this hands-on assignment, you will create some new predictors/features for the Titanic dataset using target encoding with the open-source platform, H2O-3.
ML Foundations: Module 2 Session 2: Getting Started With Feature Engineering Hands-On Assignment with Driverless AI (Part 2)
Select the "Read" button to begin.
Select the "Read" button to begin. For this part of the assignment, you will learn how to explore data details, launch an experiment, explore feature engineering, and how to extend Driverless AI using Bring Your Own Recipe (BYOR) by accessing the H2O.ai Recipe Github Repository.
Quiz 1: Getting Started with Feature Engineering
10 Questions  |  2 attempts  |  8/10 points to pass
10 Questions  |  2 attempts  |  8/10 points to pass
Session 2(Slides & Replay): Getting Started With Feature Engineering
Click on View to access the replay and the slides
Click on View to access the replay and the slides Slides and Replay of our second ML Foundations Course session Module 2.
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  • CD

    All,

    If you are looking to do the H2O-3 Hands-On Exercises, instead of using the Aquarium Labs you can also install H2O-3.  


    • If you need to install H2O-3 on your machine, we recommend creating an Anaconda Cloud environment, as shown in the installation guide, Install on Anaconda Cloud, this would help you make sure that you have everything that you need to do this tutorial.

    If you prefer not create an Anaconda environment, please refer to the H2O Download Page for more information on how to download H2O-3.

    Thank you!!

    Reply
  • TR

    The pdf from the Feature Engineering Techniques From an Expert Kaggler session has a number of errors issues where the text is not clear.

    Reply
  • FV

    Thank you, Terrence. We will fix this as soon as we can.

    Reply
  • CD

    Hello everyone, the H2O-3 Labs in Aquarium are currently down for maintenance. We will post an update once the labs are available.  Thank you for your patience!

    Reply
  • rd

    looks like there are more people who cannot acces

    Reply
  • rd

    Hi I am not able to see the LAB5. Is it only me?

    Reply
  • CD

    Hi Rajib, the H2O-3 Labs in Aquarium are currently down for maintenance. We will post an update once the labs are available.  Thank you for your patience!

    Reply
  • MP

    Hey, I can't access the labs either! 

    Reply
  • CD

    Hi Mitul, the H2O-3 Labs in Aquarium are currently down for maintenance. We will post an update once the labs are available.  Thank you for your patience!

    Reply
  • CS

    Hi I am trying to access lab 5 but could not find it in the lab and i tried to access through URL 'https://aquarium.h2o.ai/lab/5' it showing error as lab is not enabled.can someone help me.

    Reply
  • CD

    Hi Chetan, the H2O-3 Labs in Aquarium are currently down for maintenance. We will post an update once the labs are available.  Thank you for your patience!

    Reply
  • MM

    Hi. I couldn't find the LAB 5 at Aquarium. There is another way to do the Hands On Assignment?

    Thanks in advance.

    Reply
  • CD

    Hi Miriam, the H2O-3 Labs in Aquarium are currently down for maintenance. We will post an update once the labs are available.  Thank you for your patience!

    Reply
  • AA

    Me too no lab 5 at Aquarium, only 1, 4, 8, 10, 14, 15

    Reply
  • CD

    Hi Antonio, the H2O-3 Labs in Aquarium are currently down for maintenance. We will post an update once the labs are available.  Thank you for your patience!

  • RS

    A side question related to the PAST course, AI Foundations: is it possible to have a "certification" stating the TOTAL amount of hours, needed for person like me for Certifications purposes (in my case, ASQ ones) or corporate certifications ?

    Reply
  • RS

    Personally speaking, yesterday's session was awesome as the previous ones. I love the theory and the slow pace of this course and I do think that without this I would personally be incapable to do any code. Surely, as a Manager, without this sessions I would be clueless in front of a Notebook or a Python IDE..

    Maybe is possible to have additional "side" coding sessions or better define additional courses with more coding... Since it is an Introduction to ML (there will be also an Intro to DL ?), I am very satisfied: no content / no code !!!

    Reply
  • SM

    Respected Sir,

    We want to code, we want to delve deeper into code and applying it on ML models and other stuffs. Can you please let us through codes, we want to code otherwise it is useless for us. We are students, it will help business professionals but not us.

    Reply