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Mo Ali's Projects

credit-card-fraud-detection icon credit-card-fraud-detection

This project uses Python to predict credit card fraud by analyzing transaction data. A machine learning model is trained to detect fraud in real-time and is optimized using hyperparameters. An interactive dashboard is created to provide a tool for financial institutions to prevent fraudulent transactions.

loan-default-prediction icon loan-default-prediction

Build a classification model to predict clients who are likely to default on their loans. Give recommendations to the bank on important features to consider while approving a loan. Concepts Used: Logistic Regression, Decision Trees, Random Forests, and Ensemble Methods

mosyariefali.github.io icon mosyariefali.github.io

My data science portfolio consisting of different types of data science projects for academic, self learning, and hobby purposes.

nyc-crime-analysis icon nyc-crime-analysis

This project aims to visualize and analyze crime data in NYC, using heat maps, choropleth maps & scatter plots. It'll incorporate demographic & socioeconomic data to identify correlations between crime & factors such as poverty & education. Results will inform policy decisions related to public safety.

predicting-grad-school-admissions icon predicting-grad-school-admissions

This project predicts grad school admission using linear regression and R Shiny. It analyzes academic records, GRE scores, and more to create a model that can predict admission probability. The model is optimized using hyperparameters, and the final product is an interactive R Shiny dashboard.

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