Ganesh N's repositories
cord_2019
Develop text and data mining tools that can help the medical community develop answers to high priority scientific questions.
Dash-by-Plotly
Interactive data analytics
Home-Credit-Default-Risk
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. In order to make sure thisunderserved population has a positive loan experience, Home Credit makes use of a variety of alternative data- -including telco and transactional information--to predict their clients' repayment abilities. While Home Credit is currently using various statistical and machine learning methods to make these predictions, they're challenging Kagglers to help them unlock the full potential of their data. Doing so will ensure that clients capable of repayment are not rejected and that loans are given with a principal, maturity, and repayment calendar that will empower their clients to be successful.
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
txtai
AI-powered search engine
langchainapp
Initial commit