Mohamed-Aref-1
SWE || Data Engineering
Egypt-Japan University of Science and TechnologyBorg El Arab, Alexandria, Egypt
Pinned Repositories
Best-README-Template
An awesome README template to jumpstart your projects!
Credit-Card-Default-Prediction-Using-Support-Vector-Machines-and-Logistic-Regression-
This project uses SVM and Logistic Regression to predict credit card defaults using the UCI Credit Card dataset. It includes data preprocessing, one-hot encoding, model training, accuracy evaluation, and hyperparameter optimization.
Deep-CNN-Image-Classifier-Cristiano-Ronaldo-Tame-Impala
The Deep-CNN-Image-Classifier "Cristiano Ronaldo Tame Impala" project demonstrates the successful implementation of a CNN-based image classifier using TensorFlow. The model achieved an impressive accuracy rate, reaching 99% accuracy on both training and validation data in the final epoch.
E-JUST-Chatbot
FishNet
frint2023git
Gold-Price-Prediction-using-Random-Forest-Regression
This project aims to predict the price of gold (GLD) using a Random Forest Regression model. The data used for this project is collected from Kaggle. The project involves data collection, data exploration, model training, model evaluation, and visualization of the predicted and actual gold prices.
ITI-Final-Project
Mine-vs-Rock-Prediction-Using-Logistic-Regression
The "Mine vs Rock" project uses logistic regression to classify sonar signals as mines or rocks. It involves data collection, preprocessing, model training, and evaluation. The accuracy of the model is assessed, and a confusion matrix is generated for visualization.
Mohamed-Aref-1
My personal profile
Mohamed-Aref-1's Repositories
Mohamed-Aref-1/frint2023git
Mohamed-Aref-1/Mohamed-Aref-1
My personal profile
Mohamed-Aref-1/New-Cairo-Restaurant-and-Cafe-Scraper
Mohamed-Aref-1/Supply-Chain-Management-Data-Warehouse
DWSystem
Mohamed-Aref-1/Best-README-Template
An awesome README template to jumpstart your projects!
Mohamed-Aref-1/Credit-Card-Default-Prediction-Using-Support-Vector-Machines-and-Logistic-Regression-
This project uses SVM and Logistic Regression to predict credit card defaults using the UCI Credit Card dataset. It includes data preprocessing, one-hot encoding, model training, accuracy evaluation, and hyperparameter optimization.
Mohamed-Aref-1/E-JUST-Chatbot
Mohamed-Aref-1/python-arch
About me
Mohamed-Aref-1/FishNet
Mohamed-Aref-1/Taking-Off-On-Time-
Mohamed-Aref-1/Research-Paper-
Mohamed-Aref-1/ITI-Final-Project
Mohamed-Aref-1/Second-Project-LGM
Mohamed-Aref-1/Gold-Price-Prediction-using-Random-Forest-Regression
This project aims to predict the price of gold (GLD) using a Random Forest Regression model. The data used for this project is collected from Kaggle. The project involves data collection, data exploration, model training, model evaluation, and visualization of the predicted and actual gold prices.
Mohamed-Aref-1/Deep-CNN-Image-Classifier-Cristiano-Ronaldo-Tame-Impala
The Deep-CNN-Image-Classifier "Cristiano Ronaldo Tame Impala" project demonstrates the successful implementation of a CNN-based image classifier using TensorFlow. The model achieved an impressive accuracy rate, reaching 99% accuracy on both training and validation data in the final epoch.
Mohamed-Aref-1/Movie-Recommendation-System-Using-Cosine-Similarity-Algorithm
This is a project designed to provide movie recommendations based on user input. It utilizes techniques such as text similarity and cosine similarity to find similar movies and suggest them to the user. The system takes into account various features of movies, including genres, keywords, taglines, cast, and director, to determine similarity.
Mohamed-Aref-1/Mine-vs-Rock-Prediction-Using-Logistic-Regression
The "Mine vs Rock" project uses logistic regression to classify sonar signals as mines or rocks. It involves data collection, preprocessing, model training, and evaluation. The accuracy of the model is assessed, and a confusion matrix is generated for visualization.