TLDR
Regression is one of the most popular supervised learning algorithms in predictive analytics. A regression model requires the knowledge of both the outcome and the feature variables in the dataset. The training data will consist of inputs paired with the correct outputs. During training, the algorithm will search for patterns in the data that will correlate with the desired outputs. The goal of logistic regression is to allocate the data to their respective classes based on their relationship. We use Pandas to load the data file as a data frame and analyze the data.via the TL;DR App
no story
Written by saimanoj | Machine Learning|Data Science|Cricket|Football