What you’ll learn
-
Learn how to solve real life problem using the Linear and Logistic Regression technique
-
Preliminary analysis of data using Univariate and Bivariate analysis before running regression analysis
-
Understand how to interpret the result of Linear and Logistic Regression model and translate them into actionable insight
-
Indepth knowledge of data collection and data preprocessing for Linear and Logistic Regression problem
-
Basic statistics using Numpy library in Python
-
Data representation using Seaborn library in Python
-
Linear Regression technique of Machine Learning using Scikit Learn and Statsmodel libraries of Python