Chirag R Bhattad's repositories
Neural-Networks-in-Material-Science
Dual degree project work on microstructure creation using defined properties and Neural Network techniques.
Analyze_This_2018
Submission made for Analyze this 2018. The code dives deep into feature engineering and relies on hyper-parameter tuning to get the best result.
World-Development-Indicator-Dataset---Kaggle
Visualization of World Development Indicator Dataset from Kaggle
Analysing-hotel-reviews
Using Gaussian NaiveBayes to create a model that can analyse the hotel reviews with an accuracy of at least 75%.
d3.js
Repository consisting of codes for charts and graphs made using d3.js. It currently does not contain the actual visualizations, but I will soon be updating the repository to compplete it. Visit https://github.com/d3/d3/wiki/Gallery for visualizations of the charts and graphs.
Neural_Network_for_functions
Using Neural Networks to model polynomial, exponential, logarithmic and other functional forms.
Satellite-image-analysis-using-IPython.display
Using IPython.display to understand what an image is made of and to play with it to focus on particular parts and areas of the image
Sentiment-Analysis-using-textblob
This beginners level module guides you to scrap tweets from twitter and do sentiment analysis to understand if they are positive or negative. textblob is used for sentiment analysis and the Twitter API is used to scrap tweets
Working-with-Twitter-API
Exploring twitter API
chiragbhattad.github.io
Creating a website to publish science-y and ML stuff
DonorsChoose_Visualization
Source for blog post: Interactive Data Visualization with D3.js, DC.js, Python, and MongoDB
image-to-text-app
Sharing the files used to build the Image to text application deployed using Flask and Heroku
Spam-vs-Ham
Building a repository to store the data required to build an ML app using Flask and Heroku