Logistic Regression Analysis on Social Networking Advertisement
Divya Sai Patnana, Gone Hitesh, IpsitaSahu. N. Suresh Kumar · Journal of Critical Reviews · 2020
In most of the Machine learning models tables and charts need to be plot for result analysis and predictions to be made. The result analysis is a fundamental need for any company reuired to analyse their objective of their product development. In the present work Logistic regression model is developed to illustrate social networking advertisement dataset. With this fundamental Logistic Regression Model implementation one can predict whether a user is willing to purchase their product or not. In the present paper Logistic Regression Model is designed in python to predict by evaluating accuracy.