gaussian-naive-bayes

kortirso/elixir_learn_kit

Elixir library for machine learning

vamc-stash/Naive-Bayes

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

Ayantika22/Linear-discriminant-Analysis-LDA-for-Wine-Dataset

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

ravikant-diwakar/AgriSens

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.

imharshag/NIDS-using-ML

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

Pargo18/Applying-Deep-Learning-vs-Machine-Learning-models-to-reproduce-dry-spell-sequences

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 temporal coverage are used together with satellite-based precipitation products. Conventional machine-learning and deep-learning algorithms were compared in an attempt to establish a link between satellite products and field rainfall data for dry spell assessment.

Ayantika22/PCA-Principle-Component-Analysis-For-Seed-Dataset

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

doug1043/SistemBot

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

ashioyajotham/Daily-ML

Machine Learning Algorithms

Ayantika22/PCA-Principle-Component-Analysis-For-Wine-dataset

PCA(Principle Component Analysis) For Wine dataset in ML

Ayantika22/LDA-Linear-Discriminant-Analysis-for-Seed-Dataset

LDA(Linear Discriminant Analysis) for Seed Dataset

BhuvaneshRavi/disease-prediction-model

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.

HCYENDLURI/Comparing-6-Classifiers-for-Sepsis-Dataset

To Detect Sepsis Disease using six Classifiers on clinical data

pranjal0207/Automatic-Question-Generator

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

VGandhi27/Depression-Detection-using-Naive-Bayes

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

Ayantika22/Kmeans-and-HCA-clustering-Visualization-for-WINE-dataset

Kmeans and HCA clustering Visualization for WINE dataset in machine learning.

Ayantika22/Kmeans-and-Hierarchical-clustering-for-Seed-dataset

Kmeans and Hierarchical clustering for Seed-dataset in Machine Learning

Ayantika22/LDA-Linear-discriminant-Analysis--clustering-visualization-for-Iris-dataset

Linear discriminant Analysis clustering Visualization for IRIS dataset

Ayantika22/LDA-Linear-discriminant-Analysis-for-Wine-Dataset

LDA(Linear discriminant Analysis) for Wine Dataset in machine learning

Ayantika22/PCA-Iris-Clustering-Visualization

Principle Component Analysis Clustering Visualization for Iris dataset

codevibess/parallel-stacking-classifier

Stacking Classifier with parallel computing architecture based on Message Passing Interface.

doguma/IronDiamondtoChallenger

League of Legends Game Data Analysis (Random Forest, KNN, SVM, XGB / Kaggle game data 2017)

fitria-dwi/Hoax-Detection

Combat misinformation and fake news by accurately predicting the truth of the article to prevent the spread of harmful information that could lead to confusion, panic, or societal harm.

ivalada/Gaussian-Naive-Bayes-Implementation

Implementation of Gaussian Naive Bayes classification algorithm in Python using Pandas, NumPy and Scikit-Learn

mrizqiaal/drc

Dog Race Classifier by Image

nitingour1203/credit-card-default-prediction

If you miss payments or you don't pay the right amount, your creditor may send you a default notice, also known as a notice of default. If the default is applied it'll be recorded in your credit file and can affect your credit rating. An account defaults when you break the terms of the credit agreement.

Prajwal10031999/Titanic-Passenger-Survival-Predictions-using-machine-learning

A machine learning model to predict the survived passengers from the titanic disaster.

ROCCYK/DiseasePredictor

Intro to Machine Learning Final Project

SajalSinha/CardioVascular-Risk-Prediction

Deployed a classification model to predict coronary heart risk of a person

Tanjib-Rafi/Social-Network-Ads

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

the-it-weirdo/LoanApplicationStatusPrediction-ML

4 classifier models viz. k-NN classifier, Naive Bayes classifier, Decision Tree and Logistic Regression classifier predicts the outcome of Loan Appliction Status.

vishnuw/Disease-Predictor

Disease Prediction Model using KNN, Gaussian Naive Bayes Classifier along with various performance metrics

ahmadsaraj246/Loan-Approval-Prediction

areeba0/Image-Classification-using-Gaussian-Naive-Bayes-SVM-and-KNN

the code uses KNN, Gaussian Naive Bayes & SVM to classify images. It preprocesses, normalizes data, applies PCA , computes accuracy, precision etc. It evaluates k-NN using Euclidean distance & cosine similarity, visualizing results with line plots, 3D scatter plots, & confusion matrices to demonstrate classifier performance.

Harsh0713/SMS-Spam-Classification

The "SMS Spam Classification" project aims to develop a machine learning model to automatically identify and classify SMS messages as either spam or legitimate (ham).