Page 147 - Data Science Algorithms in a Week

6

Regression

Regression analysis is a process of estimating the relationship between dependent variables.
For example, if a variable y is linearly dependent on the variable x, then regression analysis
tries to estimate the constants a and b in the equation y=ax+b that expresses the linear
relationship between the variables y and x.

In this chapter, you will learn the following:
The core idea of a regression by performing a simple linear regression on the
perfect data from the first principles in example Fahrenheit and Celsius
conversion
Linear regression analysis in the statistical software R on perfect and real-world
data in examples Fahrenheit and Celsius conversion, weight prediction from
height, and flight time duration prediction from the distance
The gradient descent algorithm to find a regression model with the best fit (using
least mean squares rule) and how to implement it in Python in section Gradient
descent algorithm and its implementation
How to find a non-linear regression model using R in example ballistic flight
analysis and problem 4, bacteria population prediction