Deep Neural Network based web page classifier - LSTM, GloVe, SVM, Naive Bayes

Study of the Spatial Pyramid kernel function for Support Vector Machines (SVMs) and implementation of its statistical learning paradigm for image recognition. 🧱

A program to scrape and classify reviews into their respective categories.

Python implementation of the perceptron algorithm

This project focuses on predicting flight delays in the United States domestic air traffic system over 500 000+ data using machine learning techniques. Leveraging a dataset from the Bureau of Transportation Statistics for the year 2020, we aim to develop a predictive model that can anticipate flight delays with 93.1 % high accuracy.

Code and data for IR spectra recognition. (Part of PhD dissertation)

Likelihood of e-signing a loan based on financial history of a customer

This implements a support vector machine to classify the mnist dataset digits as even or odd

This repo demonstrates how to perform topic classification and modeling using Natural Language Processing.

A machine learning model to accurately predict whether or not the patients in the dataset have diabetes or not.

A website visualising various classification algorithms

This project detects spam messages in SMS, including those written in regional languages typed in English. It uses an extended SMS dataset and applies the Monte Carlo method with various supervised learning algorithms to improve spam detection.

A handwritten digit classifier using SVM.

Predicting the chance of Breast Cancer by using NaiveBayes and SVM

SVM algorithm for handwritten digit classification