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Machine Learning has become somewhat of a buzzword in the past many years. Everyone wants to use it; however, in order to produce the best models one has to know how to clean and prepare data for a model and one needs to have the right tools at their disposal. Today Spark is the leading product for data preparation and H2O.ai is an industry leader in model building. This course will teach you some of the theory behind data prep techniques as well as how model building works. We will use Kaggle datasets throughout the course.
Duration
3 hours
Difficulty
novice
INE's world-class IT trainingInstructor for this course
Keston Crandall
Certified AWS Cloud Practitioner CSM
This course is composed by the following modules
INE's world-class IT training
Module 1
Overview1 video
Course Introduction
Module 2
Background2 videos
Types of Analytics
Why Machine Learning?
Module 3
Theory4 videos
The Bias Variance Tradeoff
ETL, Data Operations, Data Splits
Software & Spark :: Part 1
Software & Spark :: Part 2
Module 4
Hands-On1 video
Spark Basic :: Demonstration
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