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Name: Karan Bhanot
Type: User
Bio: Working with Python, R, Machine Learning and Deep Learning to explore the field of Data Science and Machine Learning.
Location: New York
Blog: karanbhanot.com
Name: Karan Bhanot
Type: User
Bio: Working with Python, R, Machine Learning and Deep Learning to explore the field of Data Science and Machine Learning.
Location: New York
Blog: karanbhanot.com
The project involves training a Machine Learning model to classify the kind of activity a person is performing including sitting, standing, laying, walking, walking upstairs and walking downstairs using data collected from smartphones.
This Python project develops a LDA model which trains on various Wikipedia articles based on a keyword and then suggests Wikipedia articles based on a search query.
This project explores colors in various images and then enables the user to query the images based on a given color.
This capstone project is part of the Applied Data Science Capstone course on Coursera that explores the Foursquare and Zomato API together to explore venues in Chandigarh, India based on ratings and price ranges.
This project uses the Twitch API to extract data about various channels and creates a dataset from the collected information which can be used for further data analysis.
This project involves using OpenCV's trained Face Detection Neural Network to detect faces in various images and extract them either as separate images or create boxes around faces.
The repository includes the code for serial and parallel K Means using CUDA and MPI for Image Compression.
This repository hosts all the deep learning models developed as part of the Deep Learning A-Z course on Udemy.
This project develops a digit recognizer machine learning model and identifies the best model parameters using GridSearchCV.
This project introduces two Python scripts which uses OpenCV's trained Face Detection Neural Network to detect faces from images and videos.
This repository shows two very elegant ways to plot geomaps.
The project involves using the GitHub API using user authentication to fetch information such as commits and repositories for that specific user and store them as CSV files for data collection and analysis.
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.
This project trains a Machine Learning model to predict house prices and then exposes Jupyter notebook cells as REST Endpoints to make prediction with new information.
An Android application developed to create a platform where IEEE sections/members can post about an IEEE Events as well as explore upcoming IEEE Events, developed as part of MadC Competition.
The project deals with using Machine Learning on Census Income dataset to predict if income is above or below $50K per annum.
My portfolio website designed using HTML, CSS, and JavaScript on GitHub Pages to highlight my projects, and my work.
This repository hosts all the machine learning models developed as part of the Machine Learning A-Z course on Udemy.
This project trains a Convolutional Neural Network (CNN) using Keras that can identify Malaria cells with a test accuracy of more than 96%.
A repository where I work with both R and Python to predict whether someone would show up for a medical appointment or not.
This repository includes analysis of classification results based on Receiver Operating Characteristic (ROC) Curve and Cumulative Accuracy Profile (CAP) Curves.
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.
A repository to hold important resources for ML (useful for reference, revision and learning).
The repository includes detailed steps to get data from GES DISC, convert HDF5 files to CSV and plotting geographic data.
This data visualization project explores various libraries including gmplot, GeoPandas, Plotly and Bokeh to plot locations on maps using the latitude and longitude values.
The project trains an Artificial Neural Network which can predict whether a visitor will generate revenue for the company or not.
The repository includes an array of Python notebooks which describe several useful methods and tricks in Python.
Such that the music does not stop whenever a notification arrives on Android, this Android application puts the phone to vibration mode during music playback.
This project develops a deep learning model that trains on 1.6 million tweets for sentiment analysis to classify any new tweet as either being positive or negative.
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).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.