Machine Learning in R : Support Vector Machines

Learn to use the powerful R language to classify loan approvals

We will implement a complete support vector machine based ML model to classify loan approvals. These models are highly efficient in classifying whether a loan should be approved or not. You will get to learn Data analysis, data cleaning and feature engineering in one single course

Why Should You Take This Course?

This course will give developers a step by step guide to build a complete machine learning model , as allegations and stories of financial crimes are on the increase, banks and other financial institutions are taking steps to curb it and implementing machine learning  solution is a great way to do it.

This course will teach you how to deduce if a loan should be approved or not by using the data set of 614 loans. The data set has categories such as gender, marital status, education level, monthly income, loan amount, and so on. The live example is based on the assumption that a small number of features will dominate classifications.

The Course Includes

• Introduction to Support Vector Machines

• Exploratory Data Analysis

• Imputing Categorical Variables

• Imputing Numerical Variables

• Initial Model Creation

• Feature Selection

• And much more!

Become Proficient at Classifying Loan Approvals Using Support Vector Machines with this project