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Case-Study-Loan-Default-Prediction
Case-Study-Loan-Default-Prediction PublicThis 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
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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 PublicR script and documentation of maximum-likelihood estimation for MOI and lineage frequency estimates accounting for incomplete data
R
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MLMOI
MLMOI PublicThe 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
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Case-Study-Forecasting-Energy-Demand
Case-Study-Forecasting-Energy-Demand PublicThis study aims to develop and compare various models for forecasting energy demand by conducting extensive exploratory data analysis (EDA), training models such as ETS, SARIMA, and RNN, and applyi…
Jupyter Notebook
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