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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


Feature selection and feature engineering is the second part of the data processing step. Once we’ve understood what our data looks like, we need to begin to theorize the kinds of features we would use to build the model.

This type of thinking comes with experience– selecting good features is kind of like selecting good metrics. Understanding the product and what

Good job, keep it up!



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