dhanushkamath

Burgernaut

A distributed message-based food ordering system developed with RabbitMQ, Node.js, Express and MongoDB

VariationalAutoencoder

An IPython notebook explaining the concepts of Variational Autoencoders and building one using Keras to generate new faces.

PyEmotionRecognition

A Python project to recognize the emotion expressed on an individual's face, given an image.

CIFAR-10

An IPython notebook demonstrating the process of Transfer Learning using pre-trained Convolutional Neural Networks with Keras on the popular CIFAR-10 Image Classification dataset.

DeepFruitClassification

Scripts + IPython Notebook for performing transfer learning on the Inception pre-trained Convolutional Neural Network Model in TensorFlow for classifying fruits using the FIDS 30 dataset.

DCBHackathonScripts

Python scripts used for the DCB bank hackathon

dockerize-node

A simple RESTful dockerized Node + MongoDB app for adding and retrieving books.

DeepSymbolRecognition

Contains training scripts for AlexNet and a vanilla Convolutional Neural Network model for mathematical symbol recognition on the dataset - kaggle.com/xainano/handwrittenmathsymbols

youtube-api

An API that fetches the latest YouTube videos for a given topic/search from a MongoDB database which gets updated asynchronously.

MandoPay

A voice controlled personal finances and investment management web application built using Angular.

Advanced-NodeJS

Code and exercises for the LinkedIn Learning course - Advanced Node.js by Alex Banks

Big-Mart-Sales-Prediction

R script containing exploratory data analysis, visualisations, data cleansing and the model that secured a rank of 94 among 32000 participants in the Big Mart Sales Prediction challenge on Analytics Vidhya.

competitive-data-science

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

dhanushkamath.github.io

first-contributions

🚀✨ Help beginners to contribute to open source projects

IntentRecognitionDCBHackathon

NLTKscripts

A set of Python scripts demonstrating the use of the Natural Language Toolkit in Python

NodeJS-Essential-Training

Code and exercises for the LinkedIn Learning course - Node.js Essential by Alex Banks

notebooks

collection of iPython notebooks

NYCTaxiTimePredictions

A predictive modeling Kaggle challenge for prediction of taxi trip duration in New York City. Performed exploratory data analysis and trained the data with neural nets .

OpenAICartPole

Teaching Deep Neural Nets (Multi-Layer Perceptrons) to play CartPole-v0 in the OpenAI Gym in Python using Tensorflow

Predict-Future-Sales

Notebook for Predict Future Sales challenge on Kaggle. Contains code for EDA, feature engineering, metric optimisation and stacking.

PyMusicMood

A Python project to classify a list of music tracks according to its emotional impact.

REST-API-Nodejs-Express

Code for "Building a REST API with Node and Express" with Emmanuel Henri on LinkedIn Learning.

SimpleTextTagger

TitanicSurvivalPrediction

An introductory Predictive Modeling challenge on Kaggle to predict the chances of survival of people on the Titanic. Performed using various data analysis and visualization techniques such as cross validation, dimensionality reduction, data visualization with bar charts, histograms and scatter plots. Algorithm used is random forests.

VoiceApp

A voice controlled web application built using Angular and Materialize

VoiceApp-Backend

Backend services for 'MandoPay' and 'VoiceApp' built with Node.js

Word2VecSimple

An IPython Notebook explaining a simple word2vec implementation in TensorFlow based on the tutorial published on Tensorflow's official website.