Linear Regression: Simple Technique for Inferential Statistics using Pandas

Inferential statistics is otherwise known as predictive statistics that meant to do prediction using simple statistics. Statistics is the efficient and most used dogma for the world of data analysis. Any sort of analysis is incomplete without simple linear equations as, all the implementation needs a mathematical derivation for better understanding which leads to prior data visualization. Predictive analysis is not new but still requires human interface for facing more critical problems like every human does in their day to day life. Before prediction, data collection, identification, segregation are primarily concerned for data analysis. So for that, machine learning algorithms are useful to solve such problems. This paper is about the collation between linear and logistic regression by using Pandas, implementation of SVM (Support Vector Machine) and result analysis using confusion matrix.