Machine Learning: Introduction to Supervised and Unsupervised Learning Algorithms with Real-World Applications (Advanced Data Analytics Book 1) by Morgan Maynard

Author:Morgan Maynard [Maynard, Morgan]
Language: eng
Format: azw3
Published: 2020-04-30T16:00:00+00:00

In the first step you must obtain and store your training data in a clear, structured format. For each class (in my case fruit) you must have a corresponding predictor value (in my case color). Please note this is a classification problem, therefore the predictor must fall into clearly-cut, separated classes. The predictor cannot be of continuous value – if so, you must establish classification buckets as you see most appropriate (see chapter 3).

Class (Fruit)

Predictor 1 (Color)

Apple

Green

Orange

Orange

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