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
World-Population-Analysis-Using-Python
Optimizers-Implementation-from-Scratch
Bank-System
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
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
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
sahar-hamdi's Repositories
sahar-hamdi/Web-Crawler-Information-Retrieval-
1- A web crawler that crawl wikipedia starting from the following 2 seeded https://en.wikipedia.org/wiki/List_of_pharaohs 2- Build the inverted index for visited pages 3- get a query ( set of a number of words) 4- compute the cosine similarity between each file and the query 5- rank the top k=10 files according to the value of the cosin similarity
sahar-hamdi/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/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.
sahar-hamdi/sahar-hamdi
sahar-hamdi/Naive-Bayes-Classifier-from-Scratch-on-IRIS
Implementation of Naive Bayes on Normal Distribution from Scratch using Iris Dataset.
sahar-hamdi/Spotify-Tracks-Analytics-and-Prediction
In this project, we aim to perform exploratory data analysis (EDA) on the Spotify dataset to gain insights into various aspects of the tracks. We will visualize distributions, explore relationships between features, investigate correlations between numerical variables, and Build a Prediction Models.
sahar-hamdi/Quadropod
A robot with 4 legs controlled via mobile application
sahar-hamdi/Pattern-Recognition
Assignments
sahar-hamdi/github-profile-readme-generator
🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
sahar-hamdi/NLP
sahar-hamdi/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.
sahar-hamdi/HTML-Text-Processing-and-Visualization-with-python
sahar-hamdi/Video-Games-Dataset-Visualization-using-Tableau-
sahar-hamdi/Bike-Sales-Analysis-Dashboard
sahar-hamdi/LeNet-Architecture-using-gray-scaled-images-vs-LeNet-Architecture-using-Colored-Images
-Load two common datasets -Use any needed pre-processing function to analyze dataset -Use LeNet-5 to complete the process of classification -Print LeNet-5 architecture -Print number of Trainable parameters in each layer -Print confusion matrix relative to testing samples -Print precision, recall, f1_score -Comment on your results
sahar-hamdi/PCA-Implementation-from-Scratch-using-Coloredimage
- Compress a colored image using PCA, then visualize the compresses image - Decompress the compressed image and visualize it
sahar-hamdi/PCA-Implementation-from-Scratch-with-gray-scaled-image
Compress a gray scale image using PCA, then visualize the compresses image - Decompress the compressed image and visualize it using PCA From Scratch
sahar-hamdi/Disney-Characters-Classification
Classification of Disney Characters using CNN
sahar-hamdi/Comparison-between-Insertion-Sort-and-Binary-Search
sahar-hamdi/Linked-lsit-Impelemnetation-from-Scratch
sahar-hamdi/Drone-Delivery-Agent
sahar-hamdi/IRIS_Dataset_Analysis_Classification
sahar-hamdi/Bank-System
sahar-hamdi/Smart-Garage-App-using-Java
sahar-hamdi/Optimizers-Implementation-from-Scratch
sahar-hamdi/Neural-Network-Impelementation-with-different-size-of-Layers
sahar-hamdi/Housing-Dataset-Analysis
sahar-hamdi/L2-Regularization-Implementation
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