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Data Science is exciting!!
Data Science is exciting!!
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  1. ML-React-App-Template ML-React-App-Template Public

    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 305 317

  2. Web-Scraping-using-Python Web-Scraping-using-Python Public

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

    Jupyter Notebook 54 54

  3. Understanding-Flask-and-Flask-RESTPlus Understanding-Flask-and-Flask-RESTPlus Public

    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 50 33

  4. Color-Identification-using-Machine-Learning Color-Identification-using-Machine-Learning Public

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

    Jupyter Notebook 104 47

  5. Heart-Disease-Prediction Heart-Disease-Prediction Public

    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 203 177

  6. Understanding-Numpy Understanding-Numpy Public

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

    Jupyter Notebook 13 12