Repo covers multi-label text classification on large scale product data. It tries to predict related catagories for data

Multilabel classification task rock news articles based on Python

ML pipeline to classify messages into different classes

Please go into the folder "web_app" to see the README + full files. It is organized like this so that the Heroku Buildpack recoginizes it as a Python web app, and builds successfully.

MultiOutput-MultiInput Model Predict product Labels using Custom Data Generator (Tensorflow)

ML pipeline for processing and classifying messages, deployed with Flask

Given blood spectroscopy readings ,predict which compounds are in the blood

Store the exercises carried out in the discipline "Computing Inspired by Nature" of the PPGCC of UNESP.

In project explains how to work with Sklearn multioutput class for multiple targets in classification

Multi - Output Multi-Class Classification problem, Job-Type, and Job-Category Prediction

This project aims building a Natural Language Processing (NLP) model to categorize messages for possible disaster events that could happen in future. It is created as a part of Udacity Data Scientist Nanodegree Program.