slxppin/Sketchify-A-Quick-Draw-drawing-classifier

Sketchify-A-Quick-Draw is a drawing classifier that uses machine learning to recognize hand-drawn sketches. It helps users identify and categorize their artwork quickly, making it a useful tool for artists and hobbyists alike.

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adexoxo13/Naive-Bayes

Naive Bayes Classifier | 10-Fold Cross-Validation | ROC Curve Analysis | Machine Learning | Python

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mahnoorsheikh16/Sketchify-A-Quick-Draw-drawing-classifier

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mahnoorsheikh16/NLP-Approach-to-AI-Text-Classification Fork of andrew-jxhn/STT811_StatsProject

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ashioyajotham/Daily-ML

My daily ML practices

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samuelAemro12/MachineLeraning_SchoolProject-

A machine learning school project, completed on Google Colab, Classify Case instances of whether there is a recurrence-case or no-recurrance-case of breast cancer

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ravikant-diwakar/AgriSens

Smart Farming Assistant uses advanced technology, including machine learning and CNNs, to provide farmers with crop recommendations, disease identification, weather forecasts, fertilizer recommendation, and crop management guidance through a user-friendly web app.

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ArunabhaPani/kaggle_titanic_death_prediction_ml_model

The above model has been created by using the titanic dataset present in the kaggle website and has been constructed by performing Eda and constructing various ml models inorder to reach to the best possible outcome

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ArunabhaPani/House_price_prediction_kaggle_learning

started by analysing and determining the aspects required for tuning of the final ml model. Performed Eda and feature engineering inorder to determine the import parameters of the dataset and to derive more useful features, finally creating a ml model by using various different basic and advanced regression techniques.

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imharshag/NIDS-using-ML

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

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AdityaSreevatsaK/DS-ML-Playground

A collection of data science and machine learning projects showcasing complete workflows, from data cleaning and preprocessing to model building and evaluation. Dive into diverse datasets, explore a range of techniques, and experiment with models in this comprehensive playground for learning and innovation.

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havva-nur-ezginci/Diabetes-EyeDisease-Detection-ML-DL

💻This project involves the application of machine learning and deep learning methods 📊 to detect diabetes🩸 and diabetes-related eye 👁️diseases.

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kevinwood15/Python_ML_Classification_Modeling

This project uses GaussianNB, Random Forest, and AdaBoost Classification Models to predict the income category of individuals with US Census Data

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AsadiAhmad/Naive-Base-Classifier

Navie Base Classifier for classifiing imdb comments

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milaan9/Machine_Learning_Algorithms_from_Scratch

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

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GKesavamurthy1241/Cropify

CROPIFY: An Intelligent System is a Smart Farming Assistant uses advanced technology, including machine learning and CNNs, to provide farmers with crop recommendations, disease identification, weather forecasts, and crop management guidance through a user-friendly web app.

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Fraggle460/Data-Mining-

These are a series of data mining workshops using Jupyter Notebook v 7.0.8 running on Python 3.12.4 programming language.

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msikorski93/LCLU-Classification-With-Machine-Learning

A land cover classification task performed with machine learning modelling on Sentinel-2 data for Gibraltar.

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piyush5566/Twitter-Sentiment-Analysis

This is 4 class classification. The classes include - Happy, Sad, Angry and Others.

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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).

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Shaz-5/hemo-detect

Develop machine learning models that detect diseases from blood test data. Utilizing machine learning, it analyzes patterns and predicts potential health conditions, offering users early insights for proactive care.

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KashRamnath/PDAN8411_Task2_ST10117137_2023

K-Nearest Neighbours & Gaussian Naive Bayes - Diabetes Prediction

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doug1043/SistemBot

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

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estelacode/data_science

📈📊 Data Science Notebooks . ▫️ Aplicación de algoritmos de ML para la resolución de problemas de aprendizaje supervisado (Clasificación y Regresión)

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shwetapardhi/Project-Bankruptcy_Prediction

Using various machine learning models (Logistic Regression, Gaussian Naïve Bayes, KNN, Gradient Boosting Classifier, Decision Tree Classifier, Random Forest Classifier.) to predict whether a company will go bankrupt in the following years, based on financial attributes of the company; Addressed the issue of imbalanced classes, different importance

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sidjey-y/wine-quality-machine-learning

A machine learning project to predict wine quality based on physicochemical properties. It includes comparisons of model performance with and without imputation techniques using various algorithms.

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dbadeev/tweets

Цель проекта - анализ тональности твитов. Для сообщений пользователей из тестового набора, необходимо предсказать с максимально возможным результатом, является ли тональность твита положительной, отрицательной или нейтральной.

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marinafajardo/prevendo-customer-churn

Prevendo Customer Churn em Operadoras de Telecom

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ahmadsaraj246/Loan-Approval-Prediction

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codevibess/parallel-stacking-classifier

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

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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.

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muhzina-0621/Water_quality_Analysis

This project consists of Two models that classifies the potability of water .

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fitria-dwi/Hoax-Detection

This project aims to build a model to predict the truth of an article, hoax or non-hoax. Apart from that, this project also wants to identify the percentage of hoax and non-hoax articles.

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Bernardbyy/SpotifyMusicClassifier

Spotify Music Classifier with Machine Learning Using Spotify API

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daniel-was-taken/Placement-Prediction

This project on placement prediction integrates machine learning with database management using MySQL for user authentication. The project involves data preprocessing, feature engineering, and the implementation of supervised learning techniques to train the model.

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abhigyan2311/Binary-Classification-using-ML

Binary Classification using Machine Learning

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nakshatrasinghh/Machine-Learning

Making Machine Learning Algorithms Easy to Comprehend

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abisliouk/IE500-DataMining-FinalProject

The goal of this project is to create a classifier and see how accurately it can predict song genres. Taking a dataset from Spotify [Pandya, 2022], which is al- ready using machine learning algorithms for these purposes, can help assess if the resulting model can be considered apt for a large-scale business.

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purrvaja/NLP-Pipeline

NLP pre-processing steps with the IMDB dataset and prediction using classification algorithms

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annapoorna-a-k/SPAM-EMAIL-FILTERING-Using-Naive-Bayes

This project focuses on using Gaussian Naive Bayes, a probabilistic algorithm, to filter spam emails effectively. By leveraging its simplicity and efficiency, the goal is to enhance email security by accurately classifying emails as either spam or legitimate.

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seunggihong/ML-Sklearn

Simple machine learning model using scikit-learn

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muhammadshaffay/Supervised-Learning-Models

This repository contains 10+ machine learning models built from scratch in python using NumPy module.

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fitria-dwi/Airline-Passenger-Satisfaction

This project was made as a final exam report for a Data Mining course at Universitas Indonesia.

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paragon279/DiseasePrediction

Language: Python - Size: 32.2 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

saikrishnabudi/Naive-Bayes

Data Science - Naive Bayes Work

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sedabasaran/Makine-Ogrenimi-Machine-learning

Machine Learning Examples for Beginners

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anshul1004/MachineLearningClassificationModels

Implementation of various machine learning models in scikit-learn

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shivam6862/Smoke-Drink-Predictor

Engineered a cutting-edge Smoke-Drink-Predictor with ML and deep learning, uniting a user-friendly Next.js frontend and a secure Python-Flask backend, rigorously tested with Cypress.

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cerenyanik/Best_Survival_Model_Detection-Titanic

In this study, after detailed Exploratory Data Analysis, 5 different machine learning models were tested on Titanic Data to answer the question "What sorts of people were more likely to survive?" and the best model for survival prediction was determined.

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kortirso/elixir_learn_kit

Elixir library for machine learning

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AnityaGan9urde/would-you-survive-titanic-2.0

A Machine Learning Flask API (with multiple models) to predict prediction scores based on multiple features of Titanic data set.

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

PCA(Principle Component Analysis) For Wine dataset in ML

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Ayantika22/PCA-Iris-Clustering-Visualization

Principle Component Analysis Clustering Visualization for Iris dataset

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Ayantika22/Kmeans-and-Hierarchical-Clustering-Visualization-for-Iris-Dataset

Kmeans And Hierarchical Clustering Analysis Program for Clustering Visualization using Iris Dataset

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

Linear discriminant Analysis clustering Visualization for IRIS dataset

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

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

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

Kmeans and Hierarchical clustering for Seed-dataset in Machine Learning

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

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

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

LDA(Linear Discriminant Analysis) for Seed Dataset

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

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

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

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

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

To Detect Sepsis Disease using six Classifiers on clinical data

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JenilGajjar20/Machine_Deep_Learning-Algorithms

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KaziTanvir/Stroke-Prediction-comparative-analysis-on-various-machine-learning-models

Stroke Prediction comparative analysis on various machine learning models

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Pushkarm029/Smoking_ML_Model

Smoking_ML_Model is a machine learning model that predicts whether an individual is a smoker or drinker based on various features.

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ROCCYK/DiseasePredictor

Intro to Machine Learning Final Project

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vasupatelll/Email_Spam_Classifier

A Machine Learning Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like MultinomialNB, LogisticRegression, SVC, DecisionTreeClassifier, RandomForestClassifier, KNeighborsClassifier, AdaBoostClassifier, BaggingClassifier, ExtraTreesClassifier, GradientBoostingClassifier, XGBClassifier to compare accuracy an

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noahk587/CS-4372-Assignment-4-Sentiment-Analysis

Assignment conducted in CS 4372.501.F22 course with fellow classmate Ian Lunt. In this assignment, we used a .txt file consisting of Amazon.com reviews from the Sentiment Labelled Dataset to perform Sentiment Prediction using using Gaussian Naive Bayes and Tensor Flow LTSM.

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doguma/IronDiamondtoChallenger

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

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IrakliXYZ/Bankruptcy-Prediction

Using data mining techniques to predict if the organization is prone to bankruptcy using the data with 250 records and 6 nominal attributes per record. Machine learning techniques used: Linear and non-linear SVM, Decision Tree Classifier, Gaussian Naive Bayes.

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saksham1210/Human-Activity-Recognition-ML

In this project, we design a robust activity recognition system based on a smartphone.

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saksham1210/CSE-343-Machine-Learning

Assignments of the course

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SajalSinha/CardioVascular-Risk-Prediction

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

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erfnzdeh/ML-Classifier-Project

A Simple ML Car Evaluation Application.

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yashpaneliya/CS60050-Machine-Learning

Projects of CS60050-Machine Learning course for Spring semester-2023

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mamomen1996/Python_CS_03

Algorithmic Trading in Python

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Aziz-s99/absenteeism_analysis_classification

The database was created with records of absenteeism at work from July 2007 to July 2010 at a courier company in Brazil. The objective here is to predict for each new individual, whether he is going to be absent for more than 3 hours or no (3 hours is the median for the absenteeism hours).

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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

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TheAthleticCoder/Basic_AI_from_scratch

In this repository we implement algorithms such as: KNNs, Decision Trees, Naive Bayes, Gaussian Naive Bayes, Regressions and their variations from scratch without using any in-built libraries.

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vishnuw/Disease-Predictor

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

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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.

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shanuhalli/Assignment-Naive-Bayes

Prepare a classification model using Naive Bayes for salary data.

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ivalada/Gaussian-Naive-Bayes-Implementation

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

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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.

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Shaswat2001/GA-for-Suspension-Optimization Fork of SatwikGu/GA-for-Suspension-Optimization

Repository for "Optimization of a Double Wishbone Suspension Geometry for Off-road Vehicles using Genetic Algorithm and Machine Learning" (ICMAE 2022)

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Faria142/Heart-Disease-Prediction-Using-Machine-Learning-Algorithms

Classification algorithms based on supervised learning, a kind of machine learning, can help with cardiovascular disease diagnosis. Algorithms like as Random Forest, Decision Tree, and Gaussian Naive Bayes are used to distinguish between those who have and do not have cardiac disease.

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ayushshah4403/Supervised-ML-Models

Explore my GitHub repository for supervised machine learning models! It features various algorithms and datasets implemented in Python.

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Careless-Caramel/Raisin-NB

Gaussian Naive Bayes Classification on raisin dataset.

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SajjadAli54/cataract-classification

Cataract classification

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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

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enes-sahinn/World-Cup-2022-Champion-Prediction

In this project, it was aimed to build a machine learning model to predict the champion of the World Cup Qatar 2022.

Language: R - Size: 693 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

vamc-stash/Naive-Bayes

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

Language: Python - Size: 44.6 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 7

jiheon788/prediction-of-dementia-using-wearable-lifelog

아주대학교 2022-1 기계학습기초 프로젝트

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JJBarata/ml_anomaly_detection

Modelo preditivo, baseado em 6 modelos de classificação binária e multiclasse, capaz de distinguir entre conexões "ruins", que são os ataques, das conexões "boas" ou normais.

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anandanraju/Titanic_Survival_Prediction_Model

The sinking of the RMS Titanic is one of the most infamous shipwrecks in world history. In this model, need to analyse what sorts of people were likely to survive. We also need to apply the tools of machine learning to predict which passengers survived in this tragedy.

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SalamanderXing/jax-gaussian-bayes

A Multivariate Gaussian Bayes classifier written using JAX

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sheetalbongale/Iris-Data-Predictive-Modeling

Build and test multiple sci-kit learn machine learning models to predict species from flower measurements.

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mo-amininasab/FarsiDigits-Recognizer

This is a trained model to recognize Farsi digits.

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antreasvez/Neural-Networks

NTUA ECE Neural Networks Source Codes

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sanjay-06/wikipedia_scrapper

The objective of the package is to crawl Wikipedia articles in order to find a path from a given source page to a destination page through hyperlinks.

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