Learn Data Science case studies with Machine Learning Ops

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End to End Case Study (Classification): Lending Club data

A company is leading money to different people, what kind of machine learning algorithm they might need to effectively solve their business problems?

In this example, we need a machine learning algorithm that can classify individuals who are going to default on their debt. This can be a binary classification problem or even a multi-class classification problem. Also, temporal dimensions can be included in the data as well.

A lot of columns have null values, so how can we deal with this issue?

The number of null values, visualized, row 1 represents the 52 columns with less than 10% of null values. At the max, there are 54 columns with a null value of 80% or less.