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100-days-of-ml-code

100 Days of ML Coding

chat-application

Chat application using flask, flask-socketio and mongodb for database

coding-with-chrome

An Educational IDE showing off various Google EDU technologies.

create-react-app

Create React apps with no build configuration.

dummy

this is for learning

dummy-1

this is for learning

emoji-scavenger-hunt

Emoji Scavenger Hunt is an experiment that leverages the power of neural networks and your phone’s camera to identify the real world versions of the emojis we use every day.

hellocodeschoolproject

Demonstration on how projects work at Code School.

oneauth

Your one-stop Single Sign-on server. Login with Oneauth to your services. Login to Oneauth using Facebook/Twitter/Github

pym

Python for you and me book

sabudh-coursework

Ipython notebooks for sabudh

sabudh_foundation

text_similarity

The data contains a pair of paragraphs. These text paragraphs are randomly sampled from a raw dataset. Each pair of the sentence may or may not be semantically similar. The dataset considered for this project does not contain any labels. Given below is the solution to the unsupervised machine learning problem

titanic-dataset-eda---prediction

Analyzing Titanic dataset to decide who will survive

toxic-comment-classification

Analyzed Twitter comments to detect and classify them into different types of toxicity like threats, obscenity, insults and hate. Applied deep learning techniques i.e. RNN, to understand and classify the given sentence into one of the 6 types of toxicity. Achieved 96% accuracy in test dataset.

web-activities