In this post I want give a simplified explanation of what the linear regression model is and how to apply it for data predictions using python and some open python libraries (including scikit-learning).

Supervised learning is one of the major categories of Machine Learning algorithms. "Supervised" means we already have a dataset in which "correct answers" were given. For example, we have a stock data with open values and close values for a past few years, and we want to predict future values (prices or indexes). Supervised learning is subdivided into Regression problem and Classification problem. Regression problem means we're trying to predict a continuous value output (like predict stock value).

Continue reading