Regression and Classification
Regression and classification are two fundamental tasks ubiquitously present in almost all machine learning applications. They find application in varied fields ranging from engineering, physical science, biology, and the financial market, to the social sciences. They are the fundamental tools in the hands of statisticians and data scientists. In this chapter, we will cover the following topics:
- Regression
- Classification
- Difference between classification and regression
- Linear regression
- Different types of linear regression
- Classification using the TensorFlow Keras API
- Applying linear regression to estimate the price of a house
- Applying logistic regression to identify handwritten digits
All the code files for this chapter can be found at https://packt.link/dltfchp2
Let us first start with understanding what regression really is.
