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Stress Level Prediction is a web app using machine learning to estimate user stress levels. It takes inputs like anxiety, sleep quality, and academic performance, then predicts stress using a Decision Tree Classifier. Built with Python, Flask, and scikit-learn, it's useful for students, researchers, and those interested in stress management.
UC Davis Distributed Computing with Spark SQL (with Databricks) and Databricks Apache Spark SQL for Data Analysts
machine-learning sql spark apache-spark linear-regression distributed-computing sparksql logistic-regression data-pipeline engineering-data python-sklearn
Using ML to detect phishing emails.
Calculate Boston house price range with Skicit-Learn's Linear Regression.
deep-learning credit-card-fraud gan data-augmentation keras-tensorflow fraud-detection synthetic-data imbalanced-dataset python-sklearn generative-ai
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