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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


Data processing and analysis is the first step that we need to consider once we’ve clarified details and started down the path of building the model.

Our goal here is to understand exactly what our data looks like. How much training data do we have? What data are we tracking and what data are we not tracking?

This steps functions as part

Good job, keep it up!



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