This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

Elixir library for machine learning

Implements Naive Bayes and Gaussian Naive Bayes Machine learning Classification algorithms from scratch in Python.

Linear discriminant Analysis(LDA) for Wine Dataset of Machine Learning

ML based Smart Crop Recommendation System with Disease Identification, utilizing CNNs. It aids farmers in selecting crops, managing diseases, and boosts productivity by integrating weather and geolocation APIs.

This research constitutes an attempt to assess the dry spell patterns in the northern region of Ghana, near Burkina Faso. We aim to develop a model which by exploiting satellite products overcomes the poor temporal and spatial coverage of existing ground precipitation measurements. For this purpose 14 meteorological stations featuring different …

This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats

PCA(Principle Component Analysis) For Seed Dataset in Machine Learning

BOT Telegram para atendimento automático em pizzarias, utilizando ferramentas de processamento natural de linguagem.

Machine Learning Algorithms

PCA(Principle Component Analysis) For Wine dataset in ML

LDA(Linear Discriminant Analysis) for Seed Dataset

To Detect Sepsis Disease using six Classifiers on clinical data

A prediction model that uses genetic data for disease classification. Data is extracted from a DNA microarray which measures the expression levels of large numbers of genes simultaneously.

According to the World Health Organization, depression is the leading cause of disability worldwide. Globally, more than 300 million people of all ages suffer from the disorder. And the incidence of the disorder is increasing everywhere. Depression is a complex condition, involving many systems of the body

A tool for Automatic Question Generation tool in python using Natural Language Processing. Scanned images of notes are to be uploaded from which questions have to be extracted from. These scanned images converted to ‘.txt’ file. Question are generated and saved in a '.txt' file using NLP and Gaussian Naive Bayes classification

Principle Component Analysis Clustering Visualization for Iris dataset

Dog Race Classifier by Image

Predict which user is going to buy a product displayed on a social network advertisement using different classifier.

Linear discriminant Analysis clustering Visualization for IRIS dataset