Automatically tags questions on stackoverflow

We will implement an unsupervised, semi-supervised and supervised learning approach to build our tags prediction application for questions posted on stackoverflow website. We are going through data cleaning, features engineering, unsupervised learning modeling, supervised modeling and semi-supervised modeling. We are also building a client API using flask that could be found here. Stack Overflow offers a data export tool here that we are using to get data for building the application.

July 9, 2020

Design an application for public health

We are applying one of a machine learning technique called unsupervised Learning to cluster foods based on their nutritional information. The dataset used for this application comes from Open Food Fact. We are going through data cleaning, features engineering, dimensional reduction and data segmentation. This project could be found on Github

April 11, 2017

Segment customers of an e-commerce site

We are using unsupervised Learning to cluster customers of an e-commerce company. We are going through data cleaning, features engineering and data segmentation. We are using KMean, Minibatchkmeans, Agglomerative clustering, Spectral clustering and Density-based Clustering (DBSCAN) to reach the best clustering model. The dataset used for this application comes from here. This project could be found on Github