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Omar10lfc/Omar10lfc

Size: 37.1 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

Omar10lfc/Audio-Classification-Using-CNN

This Project Shows a comprehensive pipeline for urban sound classification using CNN. It covers all stages from data exploration to Model Inferance, providing visualizations, and explanations. The approach leverages Mel spectrograms and a robust CNN architecture, achieving strong performance on the UrbanSound8K dataset.

Language: Jupyter Notebook - Size: 6.86 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Omar10lfc/Drug-Discovery-Generation-Project

This project focuses on generative deep learning models for drug discovery, specifically using autoencoder architectures (such as VAE, Conditional VAE, Sparse AE, and Denoising AE) to generate novel molecular structures. It leverages the QM9 molecular dataset, preprocesses molecular data and Evaluating its validity and diversity

Language: Jupyter Notebook - Size: 2.93 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Omar10lfc/DEPI-Graduation-project-Diabetes-Diagnosis

Predictive Analytics for Diabetes Diagnosis and classification Using Machine Learning

Language: Jupyter Notebook - Size: 7.91 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 1

Omar10lfc/Neural-Network-Project-Weather-Forcasting

In this notebook a weather prediction workflow is implemented using deep learning models (LSTM and GRU). It involves data preprocessing, exploratory data analysis (EDA), model training, and evaluation using historical weather data. The goal is to compare the performance of LSTM and GRU networks in forecasting weather conditions based on past trends

Language: Jupyter Notebook - Size: 18.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Omar10lfc/LSTM_Human_Activity_Detection

This project focuses on Human Activity Recognition (HAR) using time-series sensor data collected from mobile devices. The goal is to build a deep learning model specifically an (LSTM-based neural network) that can accurately classify daily activities such based on accelerometer data.

Language: Jupyter Notebook - Size: 11 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Omar10lfc/Ames-house-price-prediction

This project focuses on leveraging the Ames Housing dataset to predict housing prices. It encompasses a structured data science workflow that includes data exploration, preprocessing, feature engineering, model development, and evaluation, ultimately aiming to deliver reliable and interpretable predictions of housing prices.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Omar10lfc/Data-Jobs-Salary-prediction-and-company-size-classification

This is my first data science project and it is analyzing, predicting and classification of a data jobs dataset from kaggle

Language: Jupyter Notebook - Size: 106 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Omar10lfc/Classical-Cryptography

A simple function that implements encryption and decryption using classical cryptography algorithm

Language: Python - Size: 1.95 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0