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Projects in Awesome Lists tagged with binaryclassification

A curated list of projects in awesome lists tagged with binaryclassification .

https://github.com/koldim2001/binary_classification_of_users

Бинарная классификация пользователей образовательной платформы Stepic на тех, кто скорее всего пройдет курс до конца и тех, кто скорее всего покинет платформу. Модель способна давать предсказания по анализу поведения юзеров на сайте за первые 3 дня

binaryclassification churn-prediction loyalty ml stepik-course

Last synced: 19 Jun 2025

https://github.com/kingabzpro/covid19-vaccine-ml-pipeline

Designing your first machine learning pipeline with few lines of codes using Orchest. You will learn to preprocess the data, train the machine learning model, and evaluate the results.

binaryclassification covid-19 ensemble-learning machine-learning mlpipelines vaccine

Last synced: 27 Sep 2025

https://github.com/thecoderpinar/ml-perceptron-project

This project demonstrates the implementation of the Perceptron algorithm for binary classification tasks. It includes various advanced features such as data augmentation, feature engineering, and deep learning techniques to enhance model performance and robustness.

artificialintelligence binaryclassification dataanalysis datascience deep-learning jupyter-notebook machinelearning opensource perceptronalgorithm programming python

Last synced: 10 Jun 2025

https://github.com/hariprasath-v/solafune_finding_mining_sites

Develop a technology for detecting mining sites using images from the optical satellite Sentinel-2. Specifically, it involves classifying images that contain mining sites and those that do not.

binaryclassification exploratory-data-analysis f1score pandas python pytorch sentinel-2 sklearn solafune wandb

Last synced: 23 Aug 2025

https://github.com/cloaky233/binary-classifier-cnn

A Convolutional Neural Network (CNN) implementation using PyTorch and TensorFlow/Keras to classify images of cats and dogs. This project includes training scripts, model architectures, and instructions for easy setup and usage.

binaryclassification deep-learning deep-neural-networks pytorch

Last synced: 14 Mar 2025

https://github.com/phenomsg/cv-based-waste-identifier

A computer vision-based waste identifier utilizes advanced image processing techniques and machine learning

binary binaryclassification cnn computer-vision deep-learning python3

Last synced: 02 Sep 2025

https://github.com/mdtanvirhossaintusher/titanic-survival-prediction

A classifier that can predict whether a passenger can survive the sinking of the Titanic

binaryclassification decision-tree googlecolab knn logistic-regression machine-learning pandas python svm

Last synced: 20 Mar 2025

https://github.com/mohammedsaqibms/building-your-deep-neural-network

This repository guides you in building deep neural networks from scratch using Python and NumPy, covering key concepts like forward propagation and cost functions for binary classification.

binaryclassification cost-functions deep-learning forward-propagation neural-networks numpy python3

Last synced: 18 Mar 2025

https://github.com/hariprasath-v/doceree_machine-learning-hackathon_round_1

Create a model that can accurately predict whether a user belongs to the HCP(Healthcare Professional) category or not. Based on server logs.

accuracy binaryclassification catboost exploratory-data-analysis machine-learning optuna python shap

Last synced: 02 Mar 2025

https://github.com/niranjanrao07/data-245-assignments

This repository documents my journey through a curriculum focused on classical machine learning techniques, blending both theoretical foundations and hands-on implementation.

binaryclassification gwar knn linear-regression machine-learning math python svm

Last synced: 24 Jul 2025

https://github.com/saptarshi11/diamlp---diabetes-classification-with-multilayer-perceptron

Diabetes Classification using Multilayer Perceptron (MLP) is a binary classification problem where the goal is to predict whether a patient has diabetes (positive class) or not (negative class) based on a set of biomedical features or risk factors.

artificial-neural-networks binaryclassification machine-learning mlp-classifier numpy seaborn

Last synced: 07 Apr 2025

https://github.com/code-str8/customer-frauds-detection

fraud detection challenge for STEG (Tunisian Company of Electricity and Gas) focused on identifying fraudulent meter manipulation through billing history data

api binaryclassification data-science docker machine-learning notebook-jupyter python streamlit-webapp

Last synced: 24 Oct 2025

https://github.com/hariprasath-v/machinehack_analytics_olympiad_2023

Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.

binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap

Last synced: 02 Mar 2025

https://github.com/phenomsg/cat-dog-classifier

A Python TensorFlow model classifying cat and dog images using deep learning techniques for accurate and efficient image recognition.

binaryclassification jupyter-notebook opencv python3 tensorflow2

Last synced: 28 Dec 2025

https://github.com/steveee27/bank-loan-granting-prediction-using-backpropagation-neural-network

This project aims to build a model that predicts whether a loan application will be granted based on customer features such as age, income, credit history, and more. Using the Backpropagation Neural Network (BPNN) architecture, the model is trained to classify loan approvals as either "approved" or "denied."

bankloanprediction binaryclassification deeplearning neuralnetworks personalloan

Last synced: 12 Jun 2025