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  1. This is a template for creating a Machine Learning application with its front-end developed using React which interacts with a Flask service as the back-end and makes predictions.

    JavaScript 120 136

  2. This project scrapes Wikipedia for its articles using BeautifulSoup to create a dataset and then draws analysis on the collected data.

    Jupyter Notebook 24 14

  3. This project explores the usage of Flask and Flask-RESTPlus in developing a Python service to host any application as well as exploring APIs (and Swagger UI).

    Python 23 13

  4. This repository explores various Numpy commands which are quite useful for working with datasets and handling array operations.

    Jupyter Notebook 9 7

  5. The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.

    Jupyter Notebook 23 21

  6. This project explores colors in various images and then enables the user to query the images based on a given color.

    Jupyter Notebook 25 11

568 contributions in the last year

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