GitHub topics: classification-model

Shanmukhi1920/Fraud-Detection

A Comparative Analysis of Machine Learning Models for Credit Card Transactions with an Emphasis on Maximizing Recall.

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: about 19 hours ago - Pushed at: about 19 hours ago - Stars: 0 - Forks: 0

m0h1t98/Disease-prediction-using-ML

Disease prediction using Machine Learning. This is a classification problem. The objective of this project was to classify the disease based on the symptoms.

Language: Python - Size: 2.4 MB - Last synced at: 1 day ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 2

SuryaVamsi-P/Patient-Survival-Prediction-ICU-Mortality-Modeling-R

Predicts ICU patient survival using clinical and demographic features with logistic regression, decision trees, LASSO, and AIC-based model selection in R. Designed for healthcare decision-making with real-world medical insights drawn from 92K+ patient records.

Size: 6.28 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

Fakay07/FRAUDULENT-TRANSACTION-DETECTION

(END-TO-END ML PIPELINE USING XGBOOST FOR FRAUD DETECTION. COVERS FEATURE ENGINEERING, SMOTE FOR IMBALANCE, AND SHAP FOR MODEL EXPLAINABILITY WITH 95%+ CLASSIFICATION ACCURACY.)

Language: Jupyter Notebook - Size: 2.08 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

euroargodev/boundary_currents_pcm

PCM analysis in Boundary Currents

Language: Python - Size: 735 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

thefifthagreement/jedha-fs-s4-project

Fraudulent Activities - anomaly detection

Language: Jupyter Notebook - Size: 17.4 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

neelanshu7/crop-classification-and-yield-prediction

Elevate your agricultural insights with Crop Classification and Yield Prediction—a robust machine learning project that classifies crop types and forecasts yields using soil properties and environmental data. Empower farmers and researchers to make smarter, data-driven decisions for sustainable agriculture and optimized crop production.

Language: Jupyter Notebook - Size: 21.2 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

didogrigorov/AirQualityMLClassification

Machine Learning Classification Model with TensorFlow Based on the Data Coming From City Air Quality Sensors

Language: Jupyter Notebook - Size: 16.6 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

Ozzy-ZY/Ai_project_1_SentimentAnalysis

a small Sentiment analysis Deep learning model that classifies movies Reviews either Positive or Negative using neural networks layers

Language: Python - Size: 38.5 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 5 - Forks: 0

benedekrozemberczki/awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

Language: Python - Size: 870 KB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 2,399 - Forks: 343

vijaykumar1799/Customer-Churn-Prediction-Retention-Strategy

Practical customer churn analysis and prediction using Python, XGBoost, and real-world business insights.

Language: Jupyter Notebook - Size: 2.62 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

PrarthanaE/Regression-and-classification-Mini-Projects

These are a collection of Mini-Projects related to Regression and classification models

Language: Jupyter Notebook - Size: 436 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

kanchitank/Medibuddy-Smart-Disease-Predictor

Multiple disease prediction such as Diabetes, Heart disease, Kidney disease, Breast cancer, Liver disease, Malaria, and Pneumonia using supervised machine learning and deep learning algorithms.

Language: Jupyter Notebook - Size: 26.3 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 90 - Forks: 27

dnum-mi/basegun

Web app for identifying a firearm based on a picture

Language: Vue - Size: 173 MB - Last synced at: about 3 hours ago - Pushed at: about 6 hours ago - Stars: 16 - Forks: 0

Terioss/Credit_Score_Classification

Developed a multiclass classification system using supervised learning to predict credit score tiers from financial data. Applied EDA, feature engineering, hyperparameter tuning, and evaluated models using ROC-AUC, confusion matrices, and feature importance.

Language: Jupyter Notebook - Size: 973 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

wherobots/GeoTorchAI

GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale

Language: Jupyter Notebook - Size: 42.4 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 500 - Forks: 38

ZRaup/Zachary-Raup

Data Science Portfolio

Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 1 - Forks: 0

zouguojian/Traffic-accident-prediction

Do you know the probability of traffic incident in the future? Let us to evaluate it.

Language: Python - Size: 95.2 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 4 - Forks: 1

navyapatel2123/cancer_prediction

This project implements a machine learning model (Logistic Regression) trained on the Breast Cancer dataset to predict if a tumor is benign or malignant. It includes a Python script for training the model, a terminal-based prediction tool, and a web application built with Streamlit for interactive predictions.

Language: Python - Size: 60.5 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

IChowdhury01/Quantum-NLP-Circuit-Visualizer-and-Text-Classifier

An API that uses the Quantum NLP library lambeq to build and visualize quantum circuits and train a text classifier with 93% accuracy

Language: Python - Size: 283 KB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 4

AaryanGole26/FinSlash

FinSlash is brought to you by the 3JT Team, a passionate group of innovators at the intersection of finance and technology. Our goal? To empower financial institutions and individuals with tools that make loan decisions transparent, efficient, and data-driven.

Language: Python - Size: 1.03 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

Harsh-Bhatia7/Major-Project

Iris Classification Package: A comprehensive machine learning package for classifying iris flowers by species using the classic Iris dataset.

Language: Python - Size: 50.8 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

KenNewcomb/MLearn

A collection of machine learning algorithms, written in Python.

Language: Python - Size: 17.7 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

dkeyGit/Relevance-Classifier

A microservice for the automatic classification of online feedback sentences for requirements engineering using a fine-tuned LLM

Language: Jupyter Notebook - Size: 122 KB - Last synced at: 24 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

ufal/atrium-page-classification

Classification of historical page images using ViT - for ATRIUM project

Language: Python - Size: 370 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 2 - Forks: 0

surendiran-20cl/Credit_Score_Classification

Developed a multiclass classification system using supervised learning to predict credit score tiers from financial data. Applied EDA, feature engineering, hyperparameter tuning, and evaluated models using ROC-AUC, confusion matrices, and feature importance.

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

chicago-joe/Python-ML-for-Financial-Applications

Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling

Language: Python - Size: 7.06 MB - Last synced at: 4 days ago - Pushed at: almost 6 years ago - Stars: 19 - Forks: 6

nurulashraf/telco-customer-churn-prediction-model

This repository contains a Telco Customer Churn Prediction project using machine learning. It includes data preprocessing, exploratory data analysis, feature engineering, and model development to predict customer churn. Key tools used are Python, Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn.

Language: Jupyter Notebook - Size: 539 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

ptanthavorn/machine-learning

This repository showcases my machine learning projects, where I apply various techniques to analyze datasets and derive insights for business decision-making.

Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

elaheghiyabi96/breast-cancer-prediction-mlp

Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: 23 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

Caramel-Labs/pohora.lk

Crop & Fertilizer recommendation using machine learning

Language: Jupyter Notebook - Size: 26.3 MB - Last synced at: 14 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0

louisbrulenaudet/lemone-api

Lemone: the API for french tax law and embeddings computation 🇫🇷

Language: Python - Size: 2.45 MB - Last synced at: 1 day ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

celineclarissa/Book-Genre-Prediction

Genre classification from book summaries using NLP, feature engineering, and a TensorFlow-based neural network, deployed on Hugging Face.

Language: Jupyter Notebook - Size: 34.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

aerojasm/kaggle-competition-playground-s4e8

Kaggle Competition: Playground S4E8

Language: Jupyter Notebook - Size: 154 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

aerojasm/kaggle-competition-playground-s5e3

Kaggle Competition: Playground S5E3

Language: Jupyter Notebook - Size: 150 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

aravind-selvam/forest-fire-prediction

Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.

Language: Jupyter Notebook - Size: 2.54 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 58 - Forks: 18

Houssam-11/BigData-Architecture

Big Data system predicts pandemic risk (COVID-19) via data analysis, ML modeling, and real-time dashboard.

Language: Python - Size: 29 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

sukhitashvili/violence-detection

Deep learning based algorithm which is capable of detecting violence in indoor or outdoor environments: fight, fire or car crash and even more

Language: Jupyter Notebook - Size: 46.2 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 73 - Forks: 24

jared-fowler/prettyglm

prettyglm provides a set of functions which can easily create beautiful coefficient summaries which can readily be shared and explained.

Language: R - Size: 17.5 MB - Last synced at: 19 days ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 2

chrisprasanna/Exercise_Recognition_AI

Developing a virtual personal fitness tracker and exercise activity recognition A.I. using computer vision and deep learning.

Language: Jupyter Notebook - Size: 154 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 94 - Forks: 15

ecm200/caltech_birds

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

Language: Jupyter Notebook - Size: 282 MB - Last synced at: 23 days ago - Pushed at: 3 months ago - Stars: 45 - Forks: 9

ankitsingh32/Loan-Eligiblity-Prediction

This project aims to predict loan eligibility based on applicant details such as: ✅ Income ✅ Credit history ✅ Employment status ✅ Loan amount Using machine learning, the model classifies applicants as eligible or ineligible, helping financial institutions streamline their approval process.

Language: Jupyter Notebook - Size: 842 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

eeyribas/DeepLearning-Classifier

Contains applications related to Deep Learning Classification. The two applications perform classification using different trained models.

Language: Python - Size: 32.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

nafiuny/Optimized_TumorClassifierResNetSD

A Novel Optimized ResNet-SD Model for Brain Tumor Classification Using Stochastic Depth and Metaheuristic Optimization

Language: Python - Size: 232 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

SalmanDeveloperz/ML_House_Prediction

project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.

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

qubvel/classification_models

Classification models trained on ImageNet. Keras.

Language: Python - Size: 4.01 MB - Last synced at: 29 days ago - Pushed at: almost 3 years ago - Stars: 1,230 - Forks: 308

apachex692/client-miniproject-2023

AI Enhanced CCTV Surveillance - Client Implementation

Language: Python - Size: 12.7 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

chicolucio/ifood-case-data-analyst

Projeto de ensino para o curso Ciência de Dados ministrado por mim na Hashtag

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 26 - Forks: 23

CoreyJness/studybot_da_capstone

Developing a model to classify question difficulty by grade level, aligned with Common Core standards.

Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

ivanseldas/microcredit-churn-classifier Fork of ironhack-labs/project-1-ironhack-payments-es

Developed a machine learning pipeline to predict customer churn with over 90% accuracy, leveraging data preprocessing, feature engineering, and Random Forest modelling. Conducted exploratory data analysis to uncover key drivers of churn, such as customer recency and cohorts from first transations.

Language: Jupyter Notebook - Size: 9.64 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 3

HudzaifahRizqi/Hotel-Reservation-Cancellation

This repository is the Final Data Science Project at Dibimbing.id. This project contains the results of analysis of the dataset of hotel booking/reservation history observations related to predictions of prospective guests who cancel reservations. This analysis involves Exploratory Data Analysis (EDA) and Machine Learning Classification.

Language: Jupyter Notebook - Size: 16 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

dartl0l/spiking-learn

Framework for machine learning with spiking neural networks

Language: Python - Size: 431 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

sudiptob2/agrgb-front

React front end of Image classification app AgRGB for detecting leaf disease in plant Leafs.

Language: JavaScript - Size: 2.37 MB - Last synced at: 13 days ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1

Sarthak-1408/Indian-Food-Classification

This Repo Represents Indian Food Classification and with the help of this project you can easily identify the Indian food

Language: Jupyter Notebook - Size: 14 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 2

asalavaty/influential

Identification and Classification of the Most Influential Nodes

Language: R - Size: 3.63 MB - Last synced at: 11 days ago - Pushed at: 7 months ago - Stars: 28 - Forks: 3

Mamba413/bess

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

Language: C++ - Size: 20.7 MB - Last synced at: 24 days ago - Pushed at: about 4 years ago - Stars: 17 - Forks: 2

RizwanMunawar/Data-analysis-on-csv-datasets-machine-learning-

Data Analysis and model building on CSV datasets.

Language: Jupyter Notebook - Size: 637 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 3

matthewlow04/AutoSpotter

Car spotting app that uses Apple's machine learning framework CoreML to identify cars

Language: Swift - Size: 4.3 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

emuell/AFEC

Cross platform audio feature extraction and sound classification tool

Language: C++ - Size: 128 MB - Last synced at: 14 minutes ago - Pushed at: 11 months ago - Stars: 22 - Forks: 4

RoTantos/ML-projects

Includes various ML projects created for educational purposes.

Language: Jupyter Notebook - Size: 304 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

tempdata73/tic-tac-toe

Play Tic Tac Toe against the computer using OpenCV and Keras

Language: Python - Size: 18.7 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 15 - Forks: 2

asaficontact/project_floodlight

Crisis incidents caused by rebel groups create a negative influence on the political and economic situation of a country. However, information about rebel group activities has always been limited. Sometimes these groups do not take responsibility for their actions, sometimes they falsely claim responsibility for other rebel group’s actions. This has made identifying the rebel group responsible for a crisis incident a significant challenge. Project Floodlight aims to utilize different machine learning techniques to understand and analyze activity patterns of 17 major rebel groups in Asia (including Taliban, Islamic State, and Al Qaeda). It uses classification algorithms such as Random Forest and XGBoost to predict the rebel group responsible for organizing a crisis event based on 14 different characteristics including number of fatalities, location, event type, and actor influenced. The dataset used comes from the Armed Conflict Location & Event Data Project (ACLED) which is a disaggregated data collection, analysis and crisis mapping project. The dataset contains information on more than 78000 incidents caused by rebel groups that took place in Asia from 2017 to 2019. Roughly 48000 of these observations were randomly selected and used to develop and train the model. The final model had an accuracy score of 84% and an F1 Score of 82% on testing dataset of about 30000 new observations that the algorithm had never seen. The project was programmed using Object Oriented Programming in Python in order to make it scalable. Project Floodlight can be further expended to understand other crisis events in Asia and Africa such as protests, riots, or violence against women.

Language: Jupyter Notebook - Size: 9.3 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 3

dominance-analysis/dominance-analysis

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

Language: Python - Size: 4.54 MB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 160 - Forks: 59

4darsh-Dev/dark_pattern_detector_app

Dark Pattern Detection using fine Tuned BERT Model, powered by CogniGuard project with streamlit web app

Language: Jupyter Notebook - Size: 1.18 MB - Last synced at: about 18 hours ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0

adensiau/Virtual-Internships

Investigating the relationship between student scores and group interactions

Language: Jupyter Notebook - Size: 2.75 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

mafda/ml_with_fastapi_and_streamlit

Prototyping a Machine Learning Application with Streamlit, FastAPI, Hugging Face and Docker

Language: Python - Size: 32 MB - Last synced at: 27 days ago - Pushed at: about 2 years ago - Stars: 21 - Forks: 6

ThiagoMonica/nba-roy-prediction

🏀 Machine learning-based analysis to predict the NBA Rookie of the Year, identifying key player attributes using statistical modeling and classification algorithms.

Language: Jupyter Notebook - Size: 7.07 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Praveenk8051/deep-learning

Deep Learning based Repository

Language: Jupyter Notebook - Size: 45.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1

Arif-miad/Auto-Insurance-Data-Analysis-Machine-Learning-Model

End-to-End Auto Insurance Data Science: EDA to Model Building

Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Cesar312/breastcancer-ai-cloud-application

Google Cloud BigQuery Prediction Application

Language: Python - Size: 12.7 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

arpanpramanik2003/fruit-veg-classification

This project is a deep learning-based image classification system that uses EfficientNet for accurate identification of fruits and vegetables from uploaded images. Built with TensorFlow and deployed using Streamlit, it provides a user-friendly interface, confidence scores, and visualization of predictions.

Language: Jupyter Notebook - Size: 48.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

bkataru/galaxy-classifier

A image classifier that classifies whether a galaxy is spiral, elliptical, or irregular. Built using Tensorflow v2 and Google's inception v3 model.

Language: Python - Size: 181 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 0

Relostar-Devil/News-Classification

Classifies news articles into categories like "News" and "Politics" using machine learning. The project processes fields such as title, text, subject, and date to uncover patterns in news content through various techniques which provides an efficient solution for organizing and analyzing large volumes of news data.

Language: Jupyter Notebook - Size: 24.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Stephen-Adwini-Badu/09.-Loan-Eligibility-Project

This project aims to predict loan eligibility for potential customers based on various financial, demographic, and personal attributes. By employing machine learning models, the notebook explores how well different algorithms can classify loan applicants into eligible or non-eligible categories.

Language: Jupyter Notebook - Size: 3.08 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Stephen-Adwini-Badu/06.-British-Airways-Project

This project focused on developing a classification model to differentiate between customers who book flights and those who cancel. Machine learning techniques were utilized to create an accurate prediction model. This enabled a better understanding of customer behavior and enhanced booking retention strategies

Language: Jupyter Notebook - Size: 4.47 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Stephen-Adwini-Badu/03.-Tiktok-Project

This project involved conducting a two-sample t-test on video view counts of verified and non-verified users, developing a regression model to analyze behavior among verified users, and creating classification models to distinguish between claims and opinions within TikTok comments and videos using natural language processing (NLP) techniques.

Language: Jupyter Notebook - Size: 2.94 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

LatiefDataVisionary/machine-learning-basic-dicoding

Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

majkamichal/naivebayes

High performance implementation of the Naive Bayes algorithm in R

Language: R - Size: 24.1 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 37 - Forks: 5

alessandromonolo/Fraud-Detection-Binary-Classification-Model

This project builds a machine learning model to classify fraudulent clients using a banking dataset. Data preprocessing, statistical analysis, and feature selection were performed before training KNN and Random Forest Classifier. Model performance was evaluated using accuracy, precision, recall, and F1-score.

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

MH0386/logistic_regression

This code about K-Fold Validation is applied to Logistic Regression.

Language: Jupyter Notebook - Size: 1.67 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

MH0386/iris_classification

An Iris Classification Model

Language: Jupyter Notebook - Size: 172 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

abdullah-al-masud/msdlib

This is a custom library for data processing, visualization and machine learning tools.

Language: Python - Size: 51.5 MB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 13 - Forks: 2

Yukta026/Eye_disease_prediction

Detection and Classification of Eye Diseases: Diabetic Retinopathy, Cataract, and Glaucoma Using CNN

Language: Jupyter Notebook - Size: 3.23 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

Ari-S-123/DS-3000-Final-Project

Predicts consumer behavior in online commerce using Machine Learning Algorithms.

Language: Jupyter Notebook - Size: 44.1 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

aravindnathan02/credit-card-fraud-detection

This repository contains a Machine Learning project aimed at detecting fraudulent credit card transactions. The goal is to build a reliable and efficient model that minimizes false positives and false negatives, ensuring financial safety and improving fraud detection capabilities.

Language: Jupyter Notebook - Size: 110 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

Onome-Joseph/Heart-Attack-Prediction

This project estimates the likelihood of a heart attack for a patient based on their health parameters.

Language: Jupyter Notebook - Size: 1.18 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

andreamoleri/Floranet

A deep learning notebook focused on classifying flowers from the Oxford Flower Dataset. By leveraging transfer learning with VGG16, DenseNet121, and InceptionV3, Floranet explores techniques like layer freezing and data augmentation to achieve high classification accuracy with minimal error.

Language: Jupyter Notebook - Size: 377 MB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

d4vidsha/food-groups-classification-model

A machine learning model that uses nutrition information to classify foods into food groups.

Language: Jupyter Notebook - Size: 8.69 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

MTech-Applied-AI/ml_classifier

ML Classifier with Flask API

Language: Python - Size: 3.91 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

reza-chehreghani/AI-Assignment-1-Optimization-SMOTE-DNN

Exploring Optimizers, Handling Imbalanced Datasets with SMOTE, and Building Classification Models Using Deep Neural Networks.

Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

ronnie-allen/Music-Genre-Classification-with-CNN

A machine learning model for classifying music genres based on audio features. This repository contains the code and resources for building, training, and evaluating the model using popular libraries like TensorFlow and scikit-learn. It aims to predict the genre of music from raw audio data, providing a practical solution for music classification..

Language: Python - Size: 524 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

GianlucaZoni/ML5_Color_Classifier

A simple neural network that learns to classify colors

Language: JavaScript - Size: 4.88 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

bonzid/notebooks

Notebooks Jupyter conçus pour divers projets

Language: Jupyter Notebook - Size: 19.5 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

jademene/Titanic-Survival-Classification-Model Fork of JacopoBulgarelli/Cloud-Cognitive-Services

Machine Learning | Classification task

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

huacenxu/Predicting-Patients-No-Shows

After cleaning and exploring the data, I train classification models including DecisionTree, RandomForest, SVM, and AdaBoost. Finally, I blend models to optimize predictions and identify the best model based on AUC and accuracy for predicting patient no-shows.

Language: Jupyter Notebook - Size: 651 KB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0