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recall-score

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This project develops an activity recognition model for a mobile fitness app using statistical analysis and machine learning. By processing smartphone sensor data, it extracts features to train models that accurately recognize user activities.

  • Updated Aug 6, 2024
  • Jupyter Notebook

This is the Data Mining Project for predicting the student's grade before the final and Mid-2 examination. I use Python and Jupyter Notebook for this Project.

  • Updated Jun 23, 2024
  • Jupyter Notebook

The ML-based Breast Cancer Prediction Model classifies breast tumors as benign or malignant by analyzing key medical features from biopsy data. It offers healthcare professionals a reliable tool for diagnosis and treatment, showcasing the power of AI in healthcare with a focus on precision in detecting malignant tumors to improve patient outcomes.

  • Updated Oct 20, 2024
  • Jupyter Notebook

This project explores the Framingham Heart disease dataset with the objective to predict its risk in 10 years. Various methods for handling missing values and outliers are explored as iterations. After analysing the dataset, important and necessary features are selected. Seven ML models are implemented, with evaluation on the basis of Test Recall.

  • Updated Apr 7, 2023
  • Jupyter Notebook

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