Pinned Repositories
banking-system
CIFAR10-Classification
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.
DataMining
This repository contains a comprehensive data mining project focused on app datasets, involving data preprocessing, quality assessment, analysis, and mining techniques. It includes detailed implementations of clustering, classification, and frequent pattern extraction.
Halma
Hextris
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.
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.
Soroush-Pasandideh's Repositories
Soroush-Pasandideh/banking-system
Soroush-Pasandideh/CIFAR10-Classification
Soroush-Pasandideh/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.
Soroush-Pasandideh/DataMining
This repository contains a comprehensive data mining project focused on app datasets, involving data preprocessing, quality assessment, analysis, and mining techniques. It includes detailed implementations of clustering, classification, and frequent pattern extraction.
Soroush-Pasandideh/Halma
Soroush-Pasandideh/Hextris
Soroush-Pasandideh/Implement-Heap-memory
Soroush-Pasandideh/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.
Soroush-Pasandideh/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.
Soroush-Pasandideh/OS_Linux_Shell
Soroush-Pasandideh/store-backend-django
this is an implementation of the back_end of an online store using Django and Django REST Framework.
Soroush-Pasandideh/todo_backend_django
back_end of a ToDo web app using Django and Django REST Framework.
Soroush-Pasandideh/Implement-Rope-data-structure
Soroush-Pasandideh/todoApp_django
a todo web app using django.