Supervised Machine Learning: Regression Vs Classification

In this article, I will explain the key differences between regression and classification supervised machine learning algorithms. It is important to understand the differences before an appropriate machine learning algorithm can be chosen.

Please read Disclaimer.

I will briefly describe 7 key areas:

1. Difference between regression and classification
2. Names of common regression and classification algorithms
3. Checking goodness of your alogrithm
4. Explaination of overfitting
5. Methods to avoid overfitting
6. Outline of Regularization
7. Mention of gradient descend

1. What are the key differences between regression and classification?

Both are:

• Supervised learning algorithms
• Use historical data to forecast and make decisions
• Focus on fitting best fit line

Supervised learning algorithms require data to be labelled. For more information on supervised machine learning, have a look at my article: Machine Learning In 8 Minutes