Unsupervised Contextualized Document Representation, to appear in SustaiNLP 2021 EMNLP 2021

Intrusion Detection System for MQTT Enabled IoT.

This repository contains the code for a rating review classification project that was submitted for the Kaggle Wars competition hosted by ACM Thapar. The project aims to classify reviews based on their rating, using data pre-processing and a convolutional neural network (CNN) model.

The CGI2Real_Multi-Class_Image_Classifier categorizes humans, horses, or both using transfer learning from Inception CNN. Trained on synthetic images, it can also classify real ones.

Code for the paper "Gaussian Process Classification as Metric Learning for Forensic Writer Identification", published at DAS 2018

Skytrax Airlines Customer Satisfaction Analytics - This is my capstone project for General Assembly.

Machine learning projects i have done so far in various training program and at the University.

classify network attacks with neural network

google bert multi-class text classifiation

📚 Multi-class classification in IRIS dataset using Deep Neural Network

A deep learning model to classify Traffic Signals.

A kernel SVM practice on MNIST handwritten digits image dataset.

In this project we wanted to implement a predictive model that uses images as an input data. These images refer to thirty-eight static gestures, belonging to the American Sign Language (ASL). The gestures represent the English alphabet and the numbers from zero to ten.

Applying AI to medical use cases: Diagnoses of lung and brain disorders, Building risk models and survival estimators for heart disease via RF, and Using NLP to extract information from radiology reports.

A collection of papers produced on the theory of boosting as applied to binary classification. Further extensions to the multi-class classification problem and necessary and sufficient conditions to ensure boostability i.e. weak learning conditions. Finally, an overview over boosting algorithms and models employed in industry.

Decision tree classifier for multi-class classification WITHOUT any advanced libraries like Pandas, Numpy, Scikit-learn, etc.

Determine Handwritten Digits using Neural Network