GitHub topics: naive-bayes

ReverendBayes/Telecom-Churn-Predictor

Predicts which customers are likely to churn using engineered telecom usage, billing, and engagement features. Includes quantile bucketing, full feature encoding, stratified train/test split, and reproducible training pipeline. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.

Language: Python - Size: 219 KB - Last synced at: about 4 hours ago - Pushed at: about 4 hours ago - Stars: 1 - Forks: 0

scythemenace/corpus-genre-analysis

A corpus analysis project that compares romance and crime novels using bag-of-words models, Naïve Bayes probability estimation, and topic modeling with LDA. Includes preprocessing tools, visualizations, and genre-based insights.

Language: HTML - Size: 3.38 MB - Last synced at: about 6 hours ago - Pushed at: about 6 hours ago - Stars: 0 - Forks: 0

shenoy-anurag/machine-learning

Practice and tutorial style notebooks covering mathematics, visualization, and various machine learning and deep learning techniques.

Language: Jupyter Notebook - Size: 11 MB - Last synced at: about 7 hours ago - Pushed at: about 8 hours ago - Stars: 0 - Forks: 0

dr-mushtaq/Natural-language-processing

This repository is a related to all about Natural Langauge Processing - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)

Language: Jupyter Notebook - Size: 1.49 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 14 - Forks: 4

DeepraMazumder/Hotel-Reviews-Sentiment-Analysis

A Machine Learning project to predict sentiments from hotel reviews for automated guest satisfaction analysis

Language: Jupyter Notebook - Size: 68.7 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0

h2oai/h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Language: Jupyter Notebook - Size: 597 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 7,120 - Forks: 2,014

irineulucas/SentimenTA

SentimenTA is a sentiment analysis tool designed to analyze and interpret emotions and opinions from textual data. It utilizes natural language processing techniques to provide insights into the sentiment behind the text.

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EleniKechrioti/Imdb-classification-ML

Sentiment analysis on IMDb movie reviews using Machine Learning and Neural Network techniques. This project was carried out in the course "Artificial Intelligence", which is a required core course of the 3rd year of the Department of Computer Science in AUEB.

Language: Jupyter Notebook - Size: 15.3 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

RishabhYadav1202/Fake-News-Predictions

A machine learning project to classify news as real or fake using NLP techniques. Includes text preprocessing, TF-IDF, and models like Logistic Regression, Naive Bayes, and SVM, with SHAP for model explainability.

Language: Jupyter Notebook - Size: 36.7 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

tirthajyoti/Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Language: Jupyter Notebook - Size: 96.7 MB - Last synced at: 8 days ago - Pushed at: almost 2 years ago - Stars: 3,191 - Forks: 1,821

RoryQo/Wildfire-Property-Damage-Predictive-Model

Developing a predictive model to assess wildfire risk and potential property damage in the Los Angeles area, using machine learning to analyze geographic, structural, and fire mitigation factors

Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

SedatDikbas/traditional-machine-learning

Geleneksel Makine Öğrenmesi Yöntemleri ile Çalışmalarım

Language: Jupyter Notebook - Size: 339 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0

alessandrobasigli/Telco-Customer-Churn-Prediction-IBM-Dataset

This project explores customer churn trends for a company in California using an IBM dataset. Built in a Jupyter Notebook, it employs pandas, NumPy, matplotlib, seaborn, plotly, and scipy to clean, analyze, and visualize data. SKlearn predictive model was trained using three main algorithms Decision Tree, Naive Bayes, and Random Forest

Language: Jupyter Notebook - Size: 3.09 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

elcaiseri/Machine-Learning-from-Scratch

Machine Learning using NumPy

Language: Python - Size: 15.6 KB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

DaniloCVieira/iMESc

This app is intended to dynamically integrate machine learning techniques to explore multivariate data sets.

Language: R - Size: 81.9 MB - Last synced at: 9 days ago - Pushed at: 13 days ago - Stars: 9 - Forks: 2

azagniotov/language-detection

This is a refined and re-implemented version of the archived plugin for ElasticSearch elasticsearch-langdetect, which itself builds upon the original work by Nakatani Shuyo, found at https://github.com/shuyo/language-detection. The aforementioned implementation by Nakatani Shuyo serves as the default language detection component within Apache Solr.

Language: Java - Size: 18.2 MB - Last synced at: about 23 hours ago - Pushed at: 4 days ago - Stars: 2 - Forks: 0

justmarkham/DAT8

General Assembly's 2015 Data Science course in Washington, DC

Language: Jupyter Notebook - Size: 23 MB - Last synced at: 7 days ago - Pushed at: 11 months ago - Stars: 1,612 - Forks: 1,066

gustavecortal/natural-language-processing

Slides, exercises, and exams for my course "Natural Language Processing" (École Pour l'Informatique et les Techniques Avancées, 2024 and 2025)

Language: Jupyter Notebook - Size: 15.4 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 9 - Forks: 0

ashwath007/Machine-Learning

ML - Learning Phase

Language: Jupyter Notebook - Size: 68.5 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 2

nadhif-royal/ModelComparisonML

In this project, I compare several commonly used machine learning models, namely K-Nearest Neighbors (KNN), Kernel SVM, Logistic Regression, Naive Bayes, SVM, Decision Tree, and Random Forest. I evaluate and compare the performance and accuracy of these models using a breast cancer dataset, and get the confusion matrix and accuracy score.

Language: Jupyter Notebook - Size: 2.94 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

Sabdikay/Telco-Customer-Churn-Prediction-IBM-Dataset

This project explores customer churn trends for a company in California using an IBM dataset. Built in a Jupyter Notebook, it employs pandas, NumPy, matplotlib, seaborn, plotly, and scipy to clean, analyze, and visualize data. SKlearn predictive model was trained using three main algorithms Decision Tree, Naive Bayes, and Random Forest

Language: Jupyter Notebook - Size: 3.14 MB - Last synced at: 11 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

vladimirhristovski/ArtificialIntelligence

Artificial Intelligence exercises

Language: Python - Size: 131 KB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

RubixML/Dota2

Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and results from 102,944 sample games.

Language: PHP - Size: 4.89 MB - Last synced at: 5 days ago - Pushed at: almost 2 years ago - Stars: 15 - Forks: 2

Vikascd/Netflix-Recommender-System

Sistema de recomendación de títulos de Netflix basado en contenido. Incluye filtros por título, género y tipo de contenido (películas o series) con interfaz interactiva en Jupyter Notebook.

Language: Jupyter Notebook - Size: 2.84 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

RohitPawar001/machine_learning

This repository contains all the machine learning algorithms and the ml concepts.

Language: Jupyter Notebook - Size: 2.8 MB - Last synced at: 14 days ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

Vipul-Mhatre/Truthtell_Tech4Stack Fork of Jsh-Agarwal/truthtell_Tech4Stack

Truth Tell is a machine learning project designed to classify fake news using the LIAR2 dataset.

Language: Jupyter Notebook - Size: 19.9 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

chayandatta/Heart_disease_prediction

Heart Disease prediction using 5 algorithms

Language: Jupyter Notebook - Size: 12 MB - Last synced at: 16 days ago - Pushed at: 6 months ago - Stars: 114 - Forks: 42

JDM-Github/naive-bayes-kivy

A Naïve Bayes classification app built with Kivy (Python). Allows users to perform machine learning-based predictions with a simple mobile-friendly interface.

Language: HTML - Size: 144 MB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Om1999/sms-spam-classifier

A machine learning project that classifies SMS messages as spam or not spam using the Multinomial Naive Bayes algorithm. Dataset Used: https://www.kaggle.com/datasets/uciml/sms-spam-collection-dataset CLICK ON BELOW LINK TO SEE THE WORKING DEMO

Language: Jupyter Notebook - Size: 740 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

winkjs/wink-naive-bayes-text-classifier

Naive Bayes Text Classifier

Language: JavaScript - Size: 1.02 MB - Last synced at: 6 days ago - Pushed at: about 2 months ago - Stars: 40 - Forks: 9

chihiroanihr/COMP472-A1_F2021

This COMP472 AI project implements text classification on BBC news articles and drug classification using various machine learning algorithms. It utilizes Python and scikit-learn to preprocess data, train models, and analyze performance, focusing on Naive Bayes, Decision Trees, and Neural Networks.

Language: Python - Size: 6.94 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

dayyass/extended-naive-bayes

[WIP] Extension of sklearn Naive Bayes models that allows sampling and more feature distributions.

Language: Python - Size: 120 KB - Last synced at: 8 days ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 0

catqaq/OpenTextClassification

OpenTextClassification is all you need for text classification! Open text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目，支持中英双语、多种模型、多种任务。

Language: Python - Size: 315 KB - Last synced at: 21 days ago - Pushed at: 12 months ago - Stars: 204 - Forks: 20

sahilgoyal7214/Premier-League-Table-Prediction Fork of vins2534/EPL-2023_

A machine learning-based model that predicts English Premier League standings using historical match data, player stats, and team performance metrics. The project leverages Random Forest for match outcome predictions and is deployed with Streamlit for interactive analysis.

Language: Python - Size: 498 KB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

darsan-in/Rumour-Monger-Spotter

Rumour Monger Spotter is a prototype developed during a national-level cyber hackathon to identify false information on Twitter. Using the Google Fact Check API and a Multinomial Naive Bayes classifier, the tool analyzes tweet content to assess the likelihood of misinformation. Despite a development window of less than 24 hours, the project won a t

Language: Python - Size: 24.5 MB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0

tpoisot/InterpretableSDMWithJulia

Slides for the "Interpretable SDM with Julia" workshop

Language: TeX - Size: 268 MB - Last synced at: 8 days ago - Pushed at: 5 months ago - Stars: 5 - Forks: 2

MoreSangeet/SMS-Classifier

SMS Spam Classifier is a machine learning project that classifies SMS messages as spam or ham using the SMS Spam Collection dataset. It employs text preprocessing (TF-IDF) and machine learning algorithms like Logistic Regression, Naive Bayes, and SVM to predict spam messages effectively.

Language: Jupyter Notebook - Size: 647 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

YousefAlaaAli/Twitter-Sentiment-Analysis

Natural language processing - Twitter Sentiment Analysis

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

LamSut/Principles-of-ML

CT205H

Language: Python - Size: 5.85 MB - Last synced at: 17 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

OmniaOsama03/Transaction-Type-Prediction

A machine learning project that classifies blockchain transactions into categories such as sales, purchases, transfers, scams, and phishing attempts. The project leverages models like Random Forest, KNN, and AdaBoost, with advanced preprocessing techniques to improve accuracy and address class imbalance.

Language: Jupyter Notebook - Size: 804 KB - Last synced at: 18 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

monasri001/AI-based-job-recommendation-System

An AI-powered job recommendation system leveraging machine learning and MongoDB to match users with suitable job opportunities based on skills, experience, and locations.

Language: Python - Size: 20.5 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

aitorvv/metrics_for_individual_tree_mortality_models

Rethinking individual tree mortality model evaluation: are we using the right approach? - code and data

Language: TeX - Size: 8.4 MB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ankushmallick1100/A-COVID-19-Infection-Rate-Detection-Technique-using-Bayes-Probability

A COVID-19 Infection Rate Detection Technique Using Bayes Probability

Language: C - Size: 7.81 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

andrechris24/naivebayes-datamining

Program data mining menggunakan algoritma Naive Bayes

Language: CSS - Size: 1.26 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

msamsami/wnb

General (mixed) and weighted naive Bayes classifiers

Language: Python - Size: 347 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 20 - Forks: 1

asafschers/scoruby

Ruby Scoring API for PMML

Language: Ruby - Size: 2.39 MB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 69 - Forks: 12

niiknow/bayes

naive bayes in php

Language: PHP - Size: 47.9 KB - Last synced at: 2 days ago - Pushed at: almost 3 years ago - Stars: 67 - Forks: 15

bansal-yash/COL774-Machine-Learning

Course assignments of COL774:- Machine Learning course at IIT Delhi under Professor Rahul Garg

Language: Python - Size: 21.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

ostad-ai/Machine-Learning

This repository contains topics and codes related to Machine Learning and Data Science, especially in Python

Language: Jupyter Notebook - Size: 1.97 MB - Last synced at: 13 days ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

shefreenkaur/NLP_Query_Documents

This repository contains two implementations of an NLP document query system that processes PDF documents and ranks them based on relevance to user queries.

Language: Python - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

rizkyjisantt-dev/Prediction-of-Heart-Failure

Prediction of Heart Failure This repository contains a Streamlit-based web application for predicting heart failure using machine learning models. The app utilizes the Heart Failure Clinical Dataset from Kaggle and implements classification models such as Gaussian Naive Bayes, K-Nearest Neighbors (K-NN), and Decision Tree. The project includes data

Language: Python - Size: 5.54 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

AsadiAhmad/Naive-Base-Classifier

Navie Base Classifier for classifiing imdb comments

Language: Jupyter Notebook - Size: 24.4 KB - Last synced at: 25 days ago - Pushed at: 12 months ago - Stars: 24 - Forks: 0

Devinterview-io/naive-bayes-interview-questions

🟣 Naive Bayes interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

Size: 14.6 KB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 2

aitorvv/ML_individual_tree_mortality

Does Machine Learning outperform Logistic Regression in predicting individual tree mortality? - code and data

Language: R - Size: 1.29 GB - Last synced at: 9 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

je-suis-tm/machine-learning

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

Language: Jupyter Notebook - Size: 7.84 MB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 234 - Forks: 51

EversonYT09/Liver_Cirrhosis

This project aim to understanding the factors contributing to liver cirrhosis, analyzing its impact, and possibly predicting disease outcomes using machine learning. It might also explore survival analysis or risk stratification for liver cirrhosis patients.

Size: 1.95 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Vishal-sys-code/machine-learning-complete-guide

The Complete Machine Learning Repository

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GungIndi/Sentiment-Analysis-Ronaldo-vs-Messi

Sentiment analysis of Ronaldo and Messi using the Naïve Bayes algorithm for my Big Data course final project in college.

Language: Jupyter Notebook - Size: 294 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

SaurabhJalendra/Diabetes-Risk-Prediction-

This repository contains a machine learning project for predicting diabetes risk based on patient symptoms and characteristics. The model analyzes factors like polyuria, polydipsia, and other clinical indicators to identify individuals at high risk of diabetes.

Language: Jupyter Notebook - Size: 1.15 MB - Last synced at: 15 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

virajbhutada/breast-cancer-prediction

The ML-based Breast Cancer Prediction Model classifies breast tumors as benign or malignant by analyzing key medical features from biopsy data. It offers healthcare professionals a reliable tool for diagnosis and treatment, showcasing the power of AI in healthcare with a focus on precision in detecting malignant tumors to improve patient outcomes.

Language: Jupyter Notebook - Size: 21 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

raghavendranhp/Resume_screening

this project utilizes Python for the screening of resumes. It involves data cleaning, visualization, and machine learning techniques to categorize resumes into different job categories.The project achieves high accuracy using a machine learning algorithm, showcasing its effectiveness in automating the resume screening process.

Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 1

CasperKristiansson/Elements-of-AI-Building-AI

All exercises for the course Elements of AI - Building AI

Language: Python - Size: 20.5 KB - Last synced at: 9 days ago - Pushed at: over 3 years ago - Stars: 20 - Forks: 26

rbayuokt/rb-naiveBayes-Web

Algoritma Naive Bayes merupakan sebuah metoda klasifikasi menggunakan metode probabilitas dan statistik, Algoritma Naive Bayes memprediksi peluang di masa depan berdasarkan pengalaman di masa sebelumnya

Language: JavaScript - Size: 4.45 MB - Last synced at: 23 days ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 4

hk-kumawat/Multi-Disease-Predictor-Diabetes-Heart-Parkinsons

🏥 An ML-powered tool that detects the likelihood of diabetes, heart disease, and Parkinson's based on user input health parameters.

Language: Jupyter Notebook - Size: 117 KB - Last synced at: 28 days ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

tekewin/data-science

Data analysis and data science notebooks

Language: Jupyter Notebook - Size: 3.49 MB - Last synced at: 17 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

arnaldog12/Machine_Learning

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Language: Jupyter Notebook - Size: 6.83 MB - Last synced at: 21 days ago - Pushed at: almost 3 years ago - Stars: 221 - Forks: 62

DanicaAlana/sales-review-sentiment-analysis

This project is a sentiment analysis project using a machine learning model. It analyzes Amazon product reviews to determine whether the sentiment expressed is positive, negative, or neutral using Multinomial Naive Bayes Method.

Language: Jupyter Notebook - Size: 4.62 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

hk-kumawat/Iris-Flower-Classifier

🌸 An ML-based classifier for predicting iris flower species (Setosa, Versicolor, Virginica) using various classification models.

Language: Jupyter Notebook - Size: 695 KB - Last synced at: 28 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Relostar-Devil/Machine-Learning-Algorithms

Supervised and Unsupervised Machine Learning Algorithms.

Language: Jupyter Notebook - Size: 116 KB - Last synced at: 15 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

soroushesnaashari/Bank-Loan-Analyzing

Using "Logistic Regression", "Naive Bayes" and "KNN" algorithms to find the most accurate algorithm for this dataset

Language: Jupyter Notebook - Size: 4 MB - Last synced at: 19 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Nikeshbajaj/spkit

Signal Processing Toolkit, including ML models with visualization

Language: Python - Size: 60.6 MB - Last synced at: 8 days ago - Pushed at: 6 months ago - Stars: 30 - Forks: 28

majkamichal/naivebayes

High performance implementation of the Naive Bayes algorithm in R

Language: R - Size: 24.1 MB - Last synced at: 11 days ago - Pushed at: 2 months ago - Stars: 37 - Forks: 5

surmon-china/naivebayes

NaiveBayes classifier for JavaScript

Language: JavaScript - Size: 524 KB - Last synced at: 19 days ago - Pushed at: about 2 years ago - Stars: 143 - Forks: 8

mkschulz9/binary-text-classification

Text classification of Amazon product reviews as positive or negative.

Language: Jupyter Notebook - Size: 81.1 KB - Last synced at: 25 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

AdvayChandramouli/IDC-Detection

Jupyter notebooks implementing various ML algorithms to classify cancerous image patches accurately, with techniques like data augmentation, class weighting, SMOTE, and resampling to address class imbalance and enhance performance. Repo includes training pipelines, performance evaluation, and result visualizations.

Language: Jupyter Notebook - Size: 914 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

alextanhongpin/data-science-learn

Things I learn about data science

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dineshdb/data-mining 📦

Data Mining Assignments

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rishisolanke/Twitter-Sentiment-Analysis-using-Machine-Learning-

A research project that classifies tweets as positive, negative, or neutral using ML algorithms (Logistic Regression, Naïve Bayes, SVM) with NLP preprocessing.

Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: 24 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

eldor-fozilov/data-mining

An exploration of what happens behind the scenes of machine learning algorithms

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sincanmaulanaa/hoax-news-detection

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RecursiveFunc/Sentiment-Analysis-using-NLP-and-Machine-Learning-Methods

Language: Python - Size: 22.5 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

listiangr/Play_Tennis_Classification

This project analyzes weather data to predict whether a person will play tennis or not. The main goal is to make accurate predictions based on factors such as weather, temperature, humidity, and wind.

Language: Jupyter Notebook - Size: 188 KB - Last synced at: 25 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

AhmadMuyaqi/resume_classification

Resume classification ini menggunakan algoritma Naïve Bayes untuk mengklasifikasikan resume berdasarkan divisi tertentu guna membantu tim Human Resource (HR) dalam proses seleksi kandidat

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RezaSaadatyar/Machine-Learning-in-Python

This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.

Language: Jupyter Notebook - Size: 8.01 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

Foxel05/Finance-TransactionCategorizer

Automatically categorize bank transactions using a Naive Bayes Gaussian model

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kirkalyn13/ai-ml-projects

Repository for personal AI/ML notebooks

Language: Jupyter Notebook - Size: 481 KB - Last synced at: 24 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

AiCorsair/Python-Case-Study-IMDb-Movie-Reviews-Sentiment-Analysis-with-NLP

This repository contains a comprehensive case study on sentiment analysis using the IMDb dataset of movie reviews.

Language: Jupyter Notebook - Size: 4.1 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

egormkn/machine-learning-course

🤖 Machine Learning course, ITMO University, 2019

Language: C++ - Size: 22.4 MB - Last synced at: 22 days ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 3

sminerport/NaiveBayesGolfPrediction

A Naive Bayes implementation predicting golf play based on weather conditions, utilizing machine learning techniques.

Language: Python - Size: 309 KB - Last synced at: 18 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

madhurimarawat/Machine-Learning-Projects-In-Python

This repository contains machine learning projects in the Python programming language.

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FelixLuciano/Fake-JobPosting-Prediction

Real and fake job postings prediction

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evNLP/ClassificationStrategies

Multinomial classification strategies

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ahmadrezasedghi/iris_classification

This repository contains a project using the Iris dataset for data visualization, outlier detection, normalization, and classification. The project includes models like GaussianNB, RandomForestClassifier, and DecisionTreeClassifier, with hyperparameter tuning and PCA for dimensionality reduction.

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