Logistic Regression : Basic Idea

It is so cool to predict the future! We can do the same if we have the right set of past data, which is also known as the ground truth. Suppose you have data on temperature, humidity, wind, and cloud for a location, and you want to predict if it will rain in the upcoming few days. These parameters of temperature, humidity, wind, and cloud are your independent variables, and rain is the dependent variable. Also, it is a classification problem since you will predict if it will rain or not, meaning the outcome will be either 0 or 1. All the independent variables that you are using are continuous in nature. Hence, there must be some way to classify a probabilistic outcome based on a set of continuous independent variables. It is where we use Logistic Regression. <a href="https://medium.com/@nishi.paul.in/logistic-regression-basic-idea-d78482458035">Click Here</a>