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aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

al-in-creditscoring

Application of Active Learning methodology to Credit Scoring datasets and classification problems

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-datascience-1

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-public-datasets

A topic-centric list of HQ open datasets.

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

credit-risk-assessment-fintech-framework-using-deep-learning-and-transfer-learning

This project represents the credit risk assessment dual framework of predicting credit scores and the forecasts of credit default risk of the consumers of the financial institutions like commercial banks and lending firms. The implementation is dealt that mimics the real-world FICO Scoring Model with the custom enhancements to include lender's internal credit risk factors by proposing a new Domain-Tech Feature Selection Approach along with Deep Learning and Transfer Learning techniques. This is the masters final project delivered as part of my course of studying Masters in Big Data Science program at Queen Mary University of London (QMUL), United Kingdom.

credit-scoring-and-survival-analysis-using-python

Survival analysis model and Credit Scorecard that minimizes operational risk and associated cost for a financial institution. Survival a

credit-scoring-data-sets

These common credit score data sets are collected to empirical evaluations, and I will update dynamically.

credit_scoring-survival_analysis

Created a scorecard for financial institution which extends loans to subprime customers which minimizes operational risk and associated cost.

distance-metrics-for-mcda

endnote_tutorial_hand_by_hand

手把手教你使用 EndNote X9/NoteExpress

euserv_extend

A simple Python Script help you renew free EUserv IPv6 VPS

fair_credit_scoring

Fair ML in credit scoring: Assessment, implementation and profit implications

fair_credit_scoring-1

Fair ML in credit scoring: Assessment, implementation and profit implications

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

group-lasso

Group Lasso implementation following the scikit-learn API

handling-imbalanced-dataset-for-classification-task

Using various ML models and Neural Networks with Focal Loss function to predict fraudulent credit card transactions.

hellinger-distance-criterion

Random Forest model using Hellinger Distance as split criterion

logisticregression_vectorized_implementation

mealpy

A collection of the state-of-the-art MEta-heuristic ALgorithms in PYthon (mealpy)

mostly-harmless-replication

Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.

optbinning

Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.

papers-we-love

Papers from the computer science community to read and discuss.

probatus

Validation of binary classifiers and data used to develop them

py_fs

A Python Package for Feature Selection

quillbot-premium-crack

🥇 QuillBot Premium Crack: Paraphrase unlimited words 🌟, 7 Writing modes🚀 , 4 Synonyms options ☄️, 6000 Summarizer word limit 💎, 15 Sentences processed at once ⚡️, Unlimited Freeze Words and phrases ❄️, Compare Modes 🎰, Enlarge Editor View 🔎 (🥰 7 thousands of active users' choices)

random-forest-importances

Code to compute permutation and drop-column importances in Python scikit-learn models

reviews

Writing reviews of academic papers