Simple Linear Regression in Python & R
Simple Linear Regression is a linear regression with only one explanatory variable. Let’s learn to build a Simple Linear Regression model in Python and R.
Introduction to Linear Regression
Linear Regression is the linear approach of modeling the relationship between a dependent variable and one or more independent variables.
Knowledge Vs. Certification
For prospects looking to pursue a course from K2 Analytics, I would like to mention that we do provide a certificate. If you attend all the sessions hours we provide a “Certificate of Participation”.
Measures of Central Tendency | Practice Exercises
Measures of Central Tendency. Answers to the practice exercises given in our blogs on Measures of Central Tendency – Mean, Median, Mode.
Understanding Classification Tree
Classification Tree is a Supervised Machine Learning Technique. It is used when data has two or more classes and the objective is to find the defining characteristics for each of the classes.
Classification Tree – Retail Banking Case Study
All the banks in India have a huge portfolio of Savings Account customers. Moreover, many of their customers typically maintain Savings Account with more than one bank. There are many reasons why a customer ends up keeping multiple bank accounts.
K Means Clustering in R
Clustering is done to group similar objects/entities. To create homogeneous groups from heterogeneous data. E.g. in Marketing, we create Customer Segments (Clusters) to design customized products/services/offerings at the segment level.
Hierarchical Clustering in R
Clustering is Machine Learning and technical approach of doing Segmentation. Clustering is a Machine Learning Technique for finding similar groups in data, called “clusters”.
How to Design Customer Single View?
Customer Single View helps you to know your customers better, It provides a quick understanding of your customer in a glance. When integrated with CRM it helps you run effective Marketing Campaigns