Learn Data Science using Python

Another post starts with you beautiful people! I appreciate that you have shown your interest in Machine Learning track and enjoyed my previous post about  Linear Regression   where we learned the concept with the case study of bike sharing system. Today we will continue our Data Science journey and learn about  Logistic Regression . Like all regression analyses, the logistic regression is a predictive analysis. The fact is that linear regression works on a continuum of numeric estimates. In order to classify correctly, we need a more suitable measure, such as the probability of class ownership . Thanks to the following formula, we can transform a linear regression numeric estimate into a probability that is more apt to describe how a class fits an observation : probability of a class = exp(r) / (1+exp(r)) r is the regression result (the sum of the variables weighted by the coefficients)  exp is the exponential function.  exp(r) corresponds to Eu...