RectLabel is an offline image annotation tool for object detection and segmentation.

This repository is an iOS application inspired by Google's "Quick, Draw!" game written in Swift language.

Board game recommendation engine

collection of different machine learning algorithm

Ridge Regression for House details dataset with Turicreate (GraphLab)

a beer classifier demonstrates how you can get your ML models into production

Engage in an old-fashioned standoff with friends using your Apple Watch.

Uniform Recognizer machine learning training pipeline and models.

Solution of Machine Learning course by University of Washington on Coursera

Predicting House Price using machine learning techniques provided by the Turicreate library.

Just an AI for simple digital recognition

Recommends services for clients in a salon

Solutions for the assignment problems

It is a basic Machine Learning Project which uses classification to predict the sentiment of a product review

Song recommender system using Turicreate library to recommend songs.

Implement Document Retrieval techniques to find who is closest to whom based on wikipedia data.

Implemented Sentiment Analysis to analyze product reviews of products sold online using Turicreate library.

Italian National Parks Recommender System built with Java (Spring Boot, Selenium, Jsoup) and Python (Turicreate)

This project analyzes and develop a model to analyze and predict the sentiment given the costomer review for an amazon baby product. Turicreate is used for this work. The data set is highly biased towards the positive sentiment, so model is improved, by using only selected features for training the model.

This work involved building a pipeline of recommender systems comprising of Popularity based recommender, KNN similarity based Clustering recommender, Item-Item association based recommender, Bi-Partite graph based association recommender, Neural Graph based Collaborative Filtering and Neural Embedding based Collaborative filtering.