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Hi πŸ‘‹ I'm Jihad !


πŸ’» Β  About Me :

  • I enjoy long walks in nature 🌳
  • I like Software Engineering and Data Science
  • Currently working on personal projects related to Data Analysis and Science

πŸ› οΈ Languages and Tools :

JavaΒ  JavaScriptΒ  PythonΒ 

Feel free to explore my profile.

Jihad's Projects

leet-code-solutions- icon leet-code-solutions-

Note that I am not a Genius. I just wanted to share my solutions for some leet code questions. Maybe this can help someone and that would make me happy :)

lendingclub-dataset-project icon lendingclub-dataset-project

## 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. ### Project 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. ### Data Overview

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