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Home Credit makes use of a variety of alternative data--including telco and transactional information--to predict their clients' repayment abilities. Many people struggle to get loans due to insufficient or non-existent credit histories. And, unfortunately, this population is often taken advantage of by untrustworthy lenders. Home Credit strives to broaden financial inclusion for the unbanked population by providing a positive and safe borrowing experience.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this project, we will automate the loan eligibility process (real-time) based on customer details while filling the online application form.
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.