Topic: binaryclassification Goto Github
Some thing interesting about binaryclassification
Some thing interesting about binaryclassification
binaryclassification,NLP Model for Spam/Ham Mail Classification
User: 0xn1nja
binaryclassification,Text Classification Problem : Wrote a module to classify Amazon-Product Reviews as favourable/unfavourable. Achieved accuracy of 78% and an F1 score of .81 using Logistic Regression on a test-train split of 20%, where total records were around 50000.
User: abhinavthapper31
binaryclassification,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.
User: abhishekkohli
binaryclassification,Social media fake accounts and spam accounts have become a huge problem these days. Some had spammed me twice on Instagram. Here I have used various Machine learning techniques to spot the fake/spam accounts
User: adityathedev
binaryclassification,Nudity/pornography detection using deeplearning. This model is trained using pretrained VGG-16. To know more about this check the readme file below
User: adityathedev
binaryclassification,The model is trained on the dataset from kaggle. used CNNs for training model. Has a accuracy of 97%.
User: afnanhashmi
binaryclassification,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.
User: ahmedsana
binaryclassification,This is heart disease prediction project that contains different methods such as FNN with Multiclass Classification, Binary Classification, Cross-Validation etc.
User: andirian98
binaryclassification,Heart Failure Prediction using Machine Learning Techniques
User: anik199
Home Page: https://anik199.github.io/
binaryclassification,
User: caioloyer
Home Page: https://caioloyer.github.io/Analisador-de-Enderecos/
binaryclassification,Analysis of the credit history of a user and to predict if the user is a suitable candidate for a small ticket loan.
User: dhruvrakesh23
binaryclassification,
User: divyanshu132
binaryclassification,Kyphosis disease prediction using Fully Connected Neural Networks (FCNNs) model and XGBoost model with GridSearchCV
User: farhanateli
binaryclassification,The dataset for this competition (both train and test) was generated from a deep learning model trained on the Pulsar Classification.
User: ganeshjainarain
Home Page: https://www.kaggle.com/competitions/playground-series-s3e10/data
binaryclassification,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
User: gokul-001
binaryclassification,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.
User: hariprasath-v
binaryclassification,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.
User: hariprasath-v
binaryclassification,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)
User: hussain0048
Home Page: https://coursesteach.com/
binaryclassification,
User: itsfk
binaryclassification,Insurance companies take risks over customers. Risk management is a very important aspect of the insurance industry. Insurers consider every quantifiable factor to develop profiles of high and low insurance risks. Insurers collect vast amounts of information about policyholders and analyze the data.
User: kaushikrohit004
binaryclassification,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.
User: kingabzpro
Home Page: https://deepnote.com/@abid/Epitope-prediction-used-in-vaccine-development-neKzykHlQFqsIQL5lPaZlw
binaryclassification,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
User: koldim2001
binaryclassification,Loan Default Prediction Model: A machine learning project that leverages historical lending data to create predictive models for assessing loan default risk, aiding financial institutions in making informed lending decisions.
User: kridosz
binaryclassification,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€
User: lmihaig
binaryclassification,A model for binary classification of credit card data as fraudulent or legitimate
User: mdtanvirhossaintusher
binaryclassification,Prediction Of Daibetes on the basis of following factors : - pregnancies , glucose , diastolic , triceps , insulin , bmi , dpf , age , diabetes
User: mrigankjaiswal-hub
binaryclassification,Prediction of diabetes based on the signs and symptoms using machine learning algorithms
User: muscak
Home Page: https://diabetes-risk-prediction.onrender.com/
binaryclassification,
User: nataberishvili
binaryclassification,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.
User: nikolliervin
binaryclassification,Can we predict how long a patient will be in a hospital with a fair comparison on gender, race and health service areas?
User: nischaybikramthapa
binaryclassification,A New, Interactive Approach to Learning Data Science
Organization: packtworkshops
binaryclassification,Used Machine Learning to create a cryptocurrency classification system for my investment banking client who is interested in offering cryptocurrencies for its customers.
User: robertfnicholson
binaryclassification,ML-powered Loan-Marketer Customer Filtering Engine
User: sagnik1511
Home Page: https://loan-webapp.herokuapp.com
binaryclassification,A computer vision-based waste identifier utilizes advanced image processing techniques and machine learning
User: sahajg009
binaryclassification,Binary Classification of mnist data using Stochastic Gradient Descent(SGD)
User: samya-ak
binaryclassification,Concrete cracking is a major issue in Bridge Engineering. Detection of cracks facilitates the design, construction and maintenance of bridges effectively.
User: sanky18
binaryclassification,Concrete cracking is a major issue in Bridge Engineering. Detection of cracks facilitates the design, construction and maintenance of bridges effectively.
User: sanky18
binaryclassification,The goal of the project is to build a predictive model using machine learning concepts to predict customer attrition for a telecom service company.
User: saurabh48782
binaryclassification,
User: sharmila-polamuri
binaryclassification,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.
User: sheezashabbir
binaryclassification,DECISION TREE CLASSIFIER - HYPER PARAMETER TUNING - Binary Classification
User: singhvks
binaryclassification,Histogram based classification and prediction of annual rainfall from Kerala dataset
User: snehashukla937
binaryclassification,Classification of two varients of rice - Osmancik, and Cammeo using machine learning
User: ssharanyab
binaryclassification,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.
User: thecoderpinar
binaryclassification,Predict whether a customer will default in the future
User: vectornd
binaryclassification,Duke University project: Data analysis in Excel (statistical analysis)
User: xiaojie-qian
binaryclassification,Individual projects done for the Data Science class
User: zurain2001
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