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Modeling & Machine Learning

Modeling & Machine Learning

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Introduction to Machine Learning
Modeling Case Study
Data Pre-Processing
Feature Selection
Model Selection
Machine Learning Algorithms
Recommendation and Search Engines
Model Evaluation
Applied Modeling
Machine Learning System Design
Generalized Linear Models and Regression

Overview

Lastly, in any modeling case study question, we have to think about how we would evaluate our model. This is a crucial step that many candidates like to gloss over or ignore completely when, in practice, it may be the bulk of the modeling work.

In this lesson, we’ll go over the three main strategies to tackle model evaluation:

  1. Cross Validation

  2. Evaluation Metrics

  3. Testing

Good job, keep it up!

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