chiragbhattad

Analysing-hotel-reviews

Using Gaussian NaiveBayes to create a model that can analyse the hotel reviews with an accuracy of at least 75%.

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.

CNN-on-sign-language-detection-dataset

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.

fatigut-strength-calculator

McKinsey-Analytics-hackathon

Neural-Networks-in-Material-Science

Dual degree project work on microstructure creation using defined properties and Neural Network techniques.

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

World-Development-Indicator-Dataset---Kaggle

Visualization of World Development Indicator Dataset from Kaggle

chiragbhattad/fatigut-strength-calculator

chiragbhattad/Neural-Networks-in-Material-Science

Dual degree project work on microstructure creation using defined properties and Neural Network techniques.

chiragbhattad/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.

chiragbhattad/McKinsey-Analytics-hackathon

chiragbhattad/World-Development-Indicator-Dataset---Kaggle

Visualization of World Development Indicator Dataset from Kaggle

chiragbhattad/Analysing-hotel-reviews

Using Gaussian NaiveBayes to create a model that can analyse the hotel reviews with an accuracy of at least 75%.

chiragbhattad/CNN-on-sign-language-detection-dataset

chiragbhattad/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.

chiragbhattad/Neural_Network_for_functions

Using Neural Networks to model polynomial, exponential, logarithmic and other functional forms.

chiragbhattad/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

chiragbhattad/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

chiragbhattad/Working-with-Twitter-API

Exploring twitter API

chiragbhattad/chiragbhattad.github.io

Creating a website to publish science-y and ML stuff

chiragbhattad/d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

chiragbhattad/DonorsChoose_Visualization

Source for blog post: Interactive Data Visualization with D3.js, DC.js, Python, and MongoDB

chiragbhattad/image-to-text-app

Sharing the files used to build the Image to text application deployed using Flask and Heroku

chiragbhattad/Spam-vs-Ham

Building a repository to store the data required to build an ML app using Flask and Heroku