Simplify camera trap image analysis with AI species recognition models based around the MegaDetector model

A Machine Learning Model that classifies the data in the images as Sensitive or Non-sensitive.

📻 Proof-of-concept project for detecting and classifying hyperbolas in ground penetrating radar (GPR) data.

Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbors (K-NN) and Support Vector Machine (SVM) which is a supervised learning method to detect breast cancer are used.

A Keras deep learning image classifiers on Django server with REST API ｜ Django 图片识别平台

A very simple Random Forest Classifier implementation in python.

Detecting Malware in PE files

An image recognition model which is capable of identifying the pattern on a dress image

Natural Language Processing of academic papers for dataset indexing

Deploy image classifier on a static website using javascript.

With some projects to develop "TOOLs" for better Modeling

A Simple code to train a CNN to predict label of Covid and Non-Covid CT scan images and an ACGAN to generate them.

Using YOLOv8 to build a Object Classifier/Tracker for RBG/Thermal Cameras

Ozone Day AdaBoostClassifier and Random Forest Tree Classifier with Machine Learning

Data Science project. ML algorithms to detect voice disorders.

Tiny and fast FQDN classifier to detect malicious domains

To build an AI-based classifier model to assign the tickets to right functional groups by analyzing the given description

IrisWise is a machine learning application for predicting Iris flower species. Built with Streamlit, this app provides a user-friendly interface to input flower measurements and receive predictions using various models, including K-Nearest Neighbors, (Random Forest, SVM, and Logistic Regression) **(Working On It...)**.

Academic project for Advances in Data Science and Architecture course