About this document
Applied Machine Learning Process Guide by prediatech is a document available to read on EtoBox.
The document describes a 5-step process for applied machine learning problems: 1. Define the problem by describing it formally and informally, listing assumptions, and considering how it could be solved manually. 2. Prepare the data by analyzing, selecting, preprocessing, and transforming it for machine learning algorithms. 3. Spot check algorithms by running many standard algorithms on the data to identify high-performing combinations. 4. Improve results by tuning algorithms, using ensembles, and further
- Author
- prediatech
- Language
- EN