binary-classifier

Single Perceptron Classifier in Python

Lazy FCA (Formal Concept Analysis) interpretable binary classificatory via Interval Pattern Structures.

Toy neural network in rust

Slovenian Definition Extraction

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

MRI, CT Scan brain image classifier

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

Binary Classifier to detect bleeding in caplse endoscopy images.

Tiny MLP binary classifier (~11K params) for detecting AI provider network traffic from TLS/HTTPS metadata. Sub-100us inference via tract (Rust).

🤖 A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API and C++ backend.

A beginner project for training a binary classifier using lung cancer miRNA datasets from the Cancer Genome Atlas.

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

A deep cnn image classifier

Neural Network built with PyTorch for the Quora Kaggle competition 🥈

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

A web-based image classification app for breast cancer detection using custom trained CNN models with Flask. Upload an image, get predictions, and visualize results through an intuitive interface.

📩 Email spam classiffier with Multinomial NB & TFIDF Vectorizer and using Streamlit for Modern UI.

The repository contains sample Logistic regression ML models made on real world datasets

a binary classifier (probe) designed to detect hallucinations in the Qwen2.5-0.5B language model using its internal latent states.