tushy12 / malaria Goto Github PK

• 👋 Hi, I’m Tushar
• 👀 I’m interested in Data Science, Machine Learning and Artificial Intelligence
• 📫 email me at [email protected]

Keras API Project Exercise

The Data

We will be using a subset of the LendingClub DataSet obtained from Kaggle: https://www.kaggle.com/wordsforthewise/lending-club

LendingClub is a US peer-to-peer lending company, headquartered in San Francisco, California.[3] It was the first peer-to-peer lender to register its offerings as securities with the Securities and Exchange Commission (SEC), and to offer loan trading on a secondary market. LendingClub is the world's largest peer-to-peer lending platform.

Our Goal

Given historical data on loans given out with information on whether or not the borrower defaulted (charge-off), can we build a model thatcan predict wether or nor a borrower will pay back their loan? This way in the future when we get a new potential customer we can assess whether or not they are likely to pay back the loan. Keep in mind classification metrics when evaluating the performance of your model!

The "loan_status" column contains our label.

The Historical Data

Unfortunately, the lending club data is more than 25MB so it is not uploaded here. You can download the file from its original website.