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sklearn-classifier

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Resale_Price_Prediction_for_Singapore-Flat

This repository focuses on developing a machine learning model and deploying a user-friendly web application to predict resale prices of flats in Singapore. Utilizing historical resale data, the goal is to create a robust model providing valuable insights for potential buyers and sellers in estimating flat resale values.

  • Updated Mar 1, 2024
  • Jupyter Notebook

The "Rock vs. Mine Prediction" project focuses on predicting whether an underwater object is a rock or a mine using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), and logistic regression, this project provides an end-to-end solution for accurate classification.

  • Updated Sep 16, 2023
  • Jupyter Notebook

This repository contains a machine learning project focused on predicting the likelihood of diabetes in patients using the powerful Support Vector Machines (SVM) algorithm. Diabetes is a critical health concern worldwide, and accurate prediction can greatly aid in early intervention and personalized patient care.

  • Updated Aug 31, 2023
  • Jupyter Notebook

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