😄 😟 😂 An emotion classification web service 😄 😟 😂

This dataset includes Twitter Handles extracted from Wikidata. For entity type classification task on handles, they are grouped into four groups: person, location, organization, product, and character.

Given a pair of questions on Quora, the NLP task aims to classify whether two given questions are duplicates or not. The underlying idea is to identify whether the pair of questions have the same intent though they might have been structured differently .

Code that exemplifies neural network solutions for classification tasks with DyNet. On top of that, the code demonstrates how to implement a custom classifier that is compatible with scikit-learn's API.

Text Mining used for a classification task using PubMed unstructured data

Code for Kaggle competition Titanic: Machine Learning from Disaster

Data Science implementations and models

Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.

Image Classifier on 102 Oxford Flowers Dataset

It is a binary classification task, where given a set of features we need to predict whether the employee is likely to leave or not

The purpose of this project is to be able to automatically and efficiently segment and classify high-grade and low-grade gliomas.

Designing Your Own Deep Neural Network

A random forest algorithm is implemented in Python from scratch to perform a classification analysis.

CMPS240 NLP project, toxic content detection

ISIC2016challenge

LSTM, Bi-LSTM PyTorch project for Information Retrieval and NLP course at University of New South Wales

Solution for Toxic Comment Classification Challenge hosted on Kaggle

CNNs usage with tensorflow.js, an example for handwritten data and recognition by cnn