Projects in Awesome Lists by mahnoorsheikh16
A curated list of projects in awesome lists by mahnoorsheikh16 .
https://github.com/mahnoorsheikh16/impact-of-minimum-wage-policies-on-youth-unemployment
This study will be an attempt to analyze what impact minimum wage has upon youth unemployment in Pakistan, a country having the world's ninth largest labor force, with 4 million young people reaching working age each year, and how it compares to the required living wage.
anker-methodology data-cleaning exploratory-data-analysis labour-economics linear-regression living-wage-calculator minimum-wage-data policy-analysis pre-processing r-language regression-analysis unemployment-analysis
Last synced: 19 Feb 2025
https://github.com/mahnoorsheikh16/credit-card-default-prediction
This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.
encoding hiplot imblearn json knn-imputer logistic-regression matplotlib numpy pandas pca-analysis plotly scipy seaborn sklearn smote streamlit support-vector-machines timeseries-forecasting visualization xgboost-classifier
Last synced: 22 Mar 2025
https://github.com/mahnoorsheikh16/Credit-Card-Default-Prediction
This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.
chi-square-test encoding hiplot imblearn json knn-imputer matplotlib numpy pandas pca-analysis pillow plotly robust-scalar scipy seaborn sklearn smote streamlit ttest visualization
Last synced: 01 Mar 2025
https://github.com/mahnoorsheikh16/loan-default-prediction
Credit risk is the borrower’s inability to repay a loan. Machine Learning models can predict risky customers and reduce lender losses. By analyzing behavior and demographics of past customers, these insights can apply to future customers for better loan decisions. This study aims to find the most suitable model for predicting loan defaults.
auc-score binary-classification-algorithms credit-card-fraud-detection data-cleaning data-science decision-tree-classifier exploratory-data-analysis loan-default-prediction logistic-regression machine-learning naive-bayes-classifier pre-processing python random-forest-classifier support-vector-machines xgboost-classifier
Last synced: 19 Feb 2025
https://github.com/mahnoorsheikh16/estimating-aggregate-import-demand-function
To test whether the economic theory for imports, real GDP and relative prices holds in real life scenario, this study analyses the extent of association between the variables through regression analysis. The paper can be used to assess the difference in impact of global events on GDP and import volume.
autocorrelation breakpoint-detection chow-test correlation-analysis cross-sectional-data economics-models f-test imf-data log-log-graphs policy-analysis ramsay regression-analysis spss-statistics time-series-analysis wald-test
Last synced: 19 Feb 2025
https://github.com/mahnoorsheikh16/power-bi-dashboard-zee-mart-
This dashboard analyzes the data from the e-commerce platform, Zee Mart, from 2012 to 2016. It explores data related to customers and products on the basis of demographics, geography and revenue earned. The report will, hence, aid the CEO, managers and the marketing department in understanding the performance of the company.
Last synced: 19 Feb 2025
https://github.com/mahnoorsheikh16/stt890-mlops
This repository is used to document coursework for STT 890 MLOps as part of my graduate school work at MSU.
mlops mlops-project mlops-workflow
Last synced: 28 Mar 2025