This is a Science and Technology Society (STS) of Sarasota-Manatee Counties that shows the data from a series of NASA STELLA-Q2 Spectrometer readings on a number of vegetative species with calculations of NDVI to differentiate species using Decision Tree logic and Knn from the mean end member data.

Simulations for the paper "Inter node Hellinger Distance based Decision Tree by Pritom Saha Akash, Md. Eusha Kadir, Amin Ahsan Ali, Mohammad Shoyaib"

UTS 31005 Machine Learning Assessment 2 - Algorithm Implementation and Journal Spring 2023

Essential NLP & ML, short & fast pure Python code

Classification Based on Associations (CBA)

Machine Learning Algorithms in Fortran

This repository contains code for implementing non-linear models for classification and regression tasks.

Here we have fully implemented a number of algorithms related to machine learning

Using Machine Learning in predicting customer churn from bank credit card services

Predicting bank churn rates with machine learning models (decision trees, random forest, & xgboost)

This project aims to classify text messages as spam or ham (non-spam) using machine learning models

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Instruction decoder generator

ID3 Decision Tree and Bagging Implementation with python

Contains the implementation of machine learning algorithms

This repository contains my solutions for various projects assigned in my university’s Artificial Intelligence course. The projects cover a wide range of AI topics and techniques, providing practical applications of AI theories learned in class.

Output-Constrained Decision Trees (OCDT)

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional scaling, Multiple Factor Analysis, Machine learning, and Prophet analysis.