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Modeling & Machine Learning

Modeling & Machine Learning

16 of 63 Completed

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

Model selection is usually the crux of any modeling case study problem. We want to be able to select a model or machine learning algorithm that will combine a bunch of factors to become the most optimal algorithm for the problem.

Let’s go through a quick review of trade-offs when performing model selection:

Explainability

Model explainability is a crucial factor that we have

Good job, keep it up!

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