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scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.

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This repository contains a project I completed for an NTU course titled CB4247 Statistics & Computational Inference to Big Data. In this project, I applied regression and machine learning techniques to predict house prices in India.

  • Updated May 16, 2024
  • Jupyter Notebook

InstaSentiment is a powerful NLP (Natural Language Processing) project aimed at analyzing the sentiment of Instagram posts. It provides users with valuable insights into the positivity and negativity of comments on a given post URL and store valuable information in PostgreSQL server then Visualize with power bi.

  • Updated May 16, 2024
  • Jupyter Notebook

This project involves developing a system to detect brain strokes from medical images, such as CT or MRI scans. The system uses image processing and machine learning techniques to identify and classify stroke regions within the brain, aiming to provide early diagnosis and assist medical professionals in treatment planning.

  • Updated May 16, 2024
  • Jupyter Notebook

Created by David Cournapeau

Released January 05, 2010

Latest release about 1 month ago

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scikit-learn.org
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python scikit