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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 306 308

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 58 57

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 34

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 107 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 254 189

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 11