sahar-hamdi
Student at Faculty of Computers and Artificial Intelligence, I'm Interested in coding, self-Study and I always Strive to be a better Person
Student at Faculty of Computers Science and Artificial Intelligence Giza-Egypt
Pinned Repositories
Bank-System
Basic-Virtual-Library-System-OOP
Design and Implementation of a virtual library system using the principles of Object-Oriented Programming (OOP). The system will allow users to manage a collection of books and perform operations like adding books, removing books, and searching for books by various criteria. I used C++ for System Implementation in this Assignment.
Bike-Sales-Analysis-Dashboard
Feature-Extraction-using-Chain-Code-with-MNIST
This repository contains code for performing image classification on the MNIST dataset using Chain Code feature extraction technique and machine learning classifiers.
NLP
Optimizers-Implementation-from-Scratch
PCA-Implementation-from-Scratch-using-Coloredimage
- Compress a colored image using PCA, then visualize the compresses image - Decompress the compressed image and visualize it
Quadruped-Robot
The Q1 Mini Quadruped Robot 2.0, developed by Jason Workshop, represents a significant advancement in the field of versatile and agile robotics.
sahar-hamdi
World-Population-Analysis-Using-Python
sahar-hamdi's Repositories
sahar-hamdi/Logistic-Regression-from-Scratch-and-Cross-Validation-From-Scratch-
1. Load MNIST dataset. 2. Subset your data to use only class 0 and class1 for the next steps. 3. Standardize your dataset 4. Divide data into training and validation set using 10-fold cross validation method 5. Implement Logistic Regression with different values for learning rate 6. Report difference accuracy for the different learning rate.
sahar-hamdi/Perceptron-Classifier-Implementation
1- Load the data Banknote_authentication.csv and shuffle it
sahar-hamdi/Perceptron-Classifier_Implementation
1- Load the data Banknote_authentication.csv and shuffle it
sahar-hamdi/Gradient_Descent_Implementation
Apply Linear regression with gradient descent and MSE loss function from scratch on the following data(X , Y)
sahar-hamdi/Mean_Square_Error
implementation of MSE using Python
sahar-hamdi/Gradient_Descent_Impelimentation
Apply Linear Regression with Gradient Descent and MSE Loss Function from Scratch to following Data(X , Y)
sahar-hamdi/World-Population-Analysis-Using-Python