binary-classifier

nishi1612/Email-Spam-Classification-using-SVM

The uploaded codes help to classify emails into spam and non spam classes by using Support Vector Machine classifier.

TrainingByPackt/Natural-Language-Processing-Fundamentals-eLearning

Build intelligent applications that can interpret the human language to deliver impactful results

UnixJunkie/orsvm-e1071

Access the Linear or RBF kernel SVM from OCaml using the R e1071 or svmpath packages

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.

AhmedWageh97/Machine-Learning-Projects

This repository contains some machine learning projects as a practise on machine learning course on Coursera for Prof. Andrew Ng from Stanford University.

cima22/Twitter_food_popularity

Short project done for the course "Introduction to Machine Learning" @ UniTS.

fpaupier/pi-mask-detection

Pipeline for mask detection over a Pi camera video feed.

jonathanyin12/Dog-vs-Cat-Classifier

An image classifier that determines whether an image contains a dog or a cat.

AstraBert/VirBiCla

A novel ML-based binary classifier to tell viral and non-viral long reads apart in metagenomic samples.

BMCARDONA/Hot-dog-Not-hot-dog-Classifier

A binary classifier to test whether an image belongs to the "hot dog" class or the "not hot dog" class, as seen on HBO's Silicon Valley.

DalyaLami/Nonprofit_Foundation_Alphabet_Soup

Using machine learning and neural networks, use the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded by Alphabet Soup.

darthbatman/riiid-aied-challenge

Explores classification methods to predict whether a student will answer a test question correctly

detjonmataj/C-Perceptron

Implementation of a Simple Perceptron (Simplest Neural network by Frank Rosenblatt) in C based on the example given example in the Veritasium video.

heshanera/PAClassifier

Online Passive Aggressive Binary Classifier

jaisal1311/Deep-Learning

LailaMahmoudi/mnist-classification

MNIST Handwritten Digits Classification

M-Adil-AS/Perceptron-Learning

Binary Linear Classifier - AI Supervised Algorithm

SaqibAMA/HOT-DOG-or-NOT-HOT-DOG

Silicon Valley inspired binary classifier to identify hot-dogs and not-hot-dogs. Source: https://www.youtube.com/watch?v=vIci3C4JkL0

sidd3103/Cats-vs-Dogs

Binary classifier that determines whether an image is of a cat or a dog.

smzoha/diabetes-prediction

Diabetes Prediction using Three Machine Learning Algorithms - Logistic Regression, Random Forest & SVM

azulrosales/dog-binary-classifier

A neural network logistic regression model that distinguishes between two dog breeds.

DiegoCabreraN/Catdog-Classifier

A Binary Classifier based on the Cats Vs Dogs dataset served in Flask

ivansakov/yandex-practicum-ds-projects

Repository featuring my data science portfolio, showcasing projects completed during my training at Yandex.Practicum.

kbmclaren/assn1-CMSC478-ML

The ML task in this assignment is binary classification, stock market prediction, based on daily news dataset.

lukesnyder98/Neural_Network_Charity_Analysis

Creating and optimizing a binary classifier that predicts whether charity organizations will be successful if funded by a fictional foundation. Done for Rutgers University's Data Science Boot Camp.

psm89/PyTorch-Exercises

A collection of very simple neural networks implemented in PyTorch.

sachink1729/Brain-MRI-Images-for-Brain-Tumor-Detection

Brain MRI Images for Brain Tumor Detection using convolutional neural networks.

tinykishore/RFWOC

Ameliorating Performance of Random Forest using Data Clustering | Research for a novel approach for binary class classification problem

wiseright/deep_learning-tensorflow-binary_classification

Deep Learning using Python and Tensorflow 2.0 (binary classification)

13263952/deep-learning

This tool is meant to help select the applicants for funding with the best chance of success in their ventures. The information was used to create a binary classifier that can predict whether applicants will be successful if funded.

honghanhh/definition_extraction

Slovenian Definition Extraction

RaghuvirShirodkar/perceptron_binary_classifier

ShabGaming/Bank-Customer-Churn-Binary-Classification

The primary objective of this project was to develop a predictive model capable of accurately determining whether a bank customer will maintain or close their account. Kaggle Playground Series S4E1

SherryKennedy/Neural_Network_Charity_Analysis_Deep_Learning

Create a binary classifier that is capable of predicting whether applicants will be successful if funded by a charity. This involved taking a deep dive into neural networks. Initially run on google-colab

spierceVR/binary-classifier-nn

Toy neural network in rust