soroush-pasandideh Goto Github PK

banking-system

cnn-classification-oxford102

This project classifies flower images from the Oxford Flowers dataset using CNNs. It involves training on 80 classes and then fine-tuning on 20 additional classes.

halma

hextris

implement-heap-memory

implement-rope-data-structure

kmeans-image-clustering

This project classifies flower images from the Oxford 102 Dataset using K-means clustering for feature extraction and machine learning for classification. It achieves efficient and accurate classification with optimized feature extraction and reduced feature sets.

knn-image-classification

This project classifies images from the Flower102 dataset using k-means clustering followed by K-Nearest Neighbors (KNN) classification. It optimizes KNN parameters to achieve high accuracy, with the best results obtained using 7 clusters and 5 nearest neighbors.

os_linux_shell

store-backend-django

this is an implementation of the back_end of an online store using Django and Django REST Framework.

todo_backend_django

back_end of a ToDo web app using Django and Django REST Framework.

todoapp_django

a todo web app using django.