binaryclassification
There are 99 repositories under binaryclassification topic.
PacktWorkshops/The-Data-Science-Workshop
A New, Interactive Approach to Learning Data Science
dr-mushtaq/Deep-Learning
This repository is a related to all about Deep Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)
AdityaTheDev/NudityDetection-Using-Deeplearning
Nudity/pornography detection using deeplearning. This model is trained using pretrained VGG-16. To know more about this check the readme file below
sagnik1511/Loan-Web
ML-powered Loan-Marketer Customer Filtering Engine
nikolliervin/profanity-detection
This nuget package is designed to help you easily identify and detect profanity or bad words within a given sentence or string. It works under a simple binary classifier that has been built and trained using ML.NET for accurate and efficient detection of inappropriate language.
Gokul-001/Detection-Of-Malarial-Infected-Cells-Using-CNN
Malaria is a serious global health problem that affects millions of people each year. One of the challenges in diagnosing malaria is identifying infected cells from microscopic images of blood smears. Convolutional Neural Networks (CNNs) are a type of deep learning algorithm that have been used for image classification tasks etc
Sanky18/L-T-EduTech-Hackathon-at-SHAASTRA-IITM
Concrete cracking is a major issue in Bridge Engineering. Detection of cracks facilitates the design, construction and maintenance of bridges effectively.
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.
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
AHMEDSANA/Binary-class-Brain-Tumor-classification
In this we trained a model to detect if there is a tumor in the brain image given to the model. Meaning a model for binary class with an accuracy of above 90 for same and cross validation.
mattsankner/micrograd
I build the Micrograd autogradient engine, which is a functioning neural network with forward pass, backward propagation, and stochastic gradient descent, all built from scratch. This is derived from the great @karpathy micrograd lecture. Each notebook is complete with Andrei's lecture code and speech, as well as my own code, anecdotes and addition
Sanky18/Crack-Detection-Model
Concrete cracking is a major issue in Bridge Engineering. Detection of cracks facilitates the design, construction and maintenance of bridges effectively.
srijan-Git1247/ML.Net-Application-CarPricePrediction
A Binary Classification application to predict if a car price is good deal or not based on a set of attributes using FastTree trainer based on the Multiple Additive Regression Trees (MART).
ssharanyab/Rice-Classification
Classification of two varients of rice - Osmancik, and Cammeo using machine learning
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.
0xN1nja/Spam-Ham-Classification-Using-TensorFlow-NLP
NLP Model for Spam/Ham Mail Classification
Abhishekkohli/Titanic-Disaster-Classification-ML
TitanicClassification.py file contains project based on binary classification. The dataset comprises of data related to passengers and binary value of whether they survived or not.
AfnanHashmi/Crack-Detector
The model is trained on the dataset from kaggle. used CNNs for training model. Has a accuracy of 97%.
Ansuman21/Evaluating_and_Optimizing_Model_Performance_for_Business_Decision-Making
Data Science Project (Understanding Classification Model Performance Metrics M5)
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.
GaneshJainarain/BinaryClass_PulsarData_Kaggle
The dataset for this competition (both train and test) was generated from a deep learning model trained on the Pulsar Classification.
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.
lmihaig/EuroparlClimateVotes
This project was built within 24h by the team Augusteam for the DevHacks 2022 Climate Change hackathon sponsored by Systematic and it won the third place worth 500€
MrigankJaiswal-hub/DiabetesPrediction
Prediction Of Daibetes on the basis of following factors : - pregnancies , glucose , diastolic , triceps , insulin , bmi , dpf , age , diabetes
pedrocast7/ML_Mood_Classification_from_tweets_with_Sklearn
A repository with a binary classification problem to explore some models and basic concepts of Machine Learning.
PhenomSG/CV-based-Waste-Identifier
A computer vision-based waste identifier utilizes advanced image processing techniques and machine learning
PulkitGigoo99/Particle_Physics_Event_Classification
A Machine Learning Project for Event Classification into Signal or Background Noise
Robertfnicholson/Cryptocurrencies
Used Machine Learning to create a cryptocurrency classification system for my investment banking client who is interested in offering cryptocurrencies for its customers.
SahandNamvar/Binary-classification-Alzheimer-disease
EDA, pre-processing, train & test models, select best-performing model based on accuracy, precision, recall, and F1-score
SheezaShabbir/FaceVerification-using-CNN-Custom-model
Implementing a model that can verify if two images belongs to same personality or not. Answer the question "Is this the claimed person?" It is a 1:1 matching problem i.e. given a face your task is to compare the candidate face to another and verify whether it is a match or not. My custom CNN model has achieved marvelous performance on the dataset.
VectorNd/Customer_Default_Prediction
Predict whether a customer will default in the future
zurain2001/Data-Science-Coursework
Individual projects done for the Data Science class