Muhammad Zaid
Web Developer & Machine Learning Enthusiast.
New to Contra
Muhammad is ready for their next project!
Built a small ML model to predict heart disease risk based on routine clinical metrics.
Used Scikit Learn’s Logistic Regression and managed an 82% test accuracy. Here’s a quick look at the evaluation and testing it out on sample patient numbers.
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I made this project to practice machine learning with Python. I used a credit card transaction dataset, trained a Logistic Regression model, and checked its predictions using accuracy and a confusion matrix.
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I worked with a house price dataset using Python and explored the data to see how different factors are related to house prices. I also used charts and a heatmap to make the results easier to understand.
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It’s a modern restaurant food ordering website with a menu, prices, cart, delivery location, and contact options.
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