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1. Loan-Default-Prediction Loan-Default-Prediction Public

   This project aims to build a machine learning model to help banks predict loan default risk for new applicants. Using historical borrower data, the model will classify applicants as likely to defau…

   Jupyter Notebook

2. maximum-likelihood-estimation-for-MOI-and-lineage-frequency-estimates-accounting-for-incomplete-data maximum-likelihood-estimation-for-MOI-and-lineage-frequency-estimates-accounting-for-incomplete-data Public

   R script and documentation of maximum-likelihood estimation for MOI and lineage frequency estimates accounting for incomplete data

   R

3. MLMOI MLMOI Public

   The package reaches out to scientists that seek to estimate MOI and lineage frequencies at molecular markers using the maximum-likelihood framework described in https://doi.org/10.1371/journal.pone…

   R

4. Modeling-Claim-Severity-for-Motor-Liability-Insurance Modeling-Claim-Severity-for-Motor-Liability-Insurance Public

   This task involves modeling the expected damage per policyholder per year based on their risk characteristics. The goal is to develop accurate predictive models to determine fair insurance premiums…

   Python

5. Value-at-Risk Value-at-Risk Public

   Value-at-risk it is a standard financial method used to estimate the potential losses you could experience as market prices move. Its strength lies in its ability to aggregate risks, so that you ca…

6. HBAR-Price-Prediction HBAR-Price-Prediction Public

   Jupyter Notebook