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Name: Passant Adel
Type: User
Bio: Data Scientist | Data analyst
Name: Passant Adel
Type: User
Bio: Data Scientist | Data analyst
Implementation of an autoencoder using TensorFlow and Keras for image reconstruction. The script focuses on encoding and decoding images, along with the addition of noise for robustness training.
This project focuses on analyzing the streaming data of various artists on spotify.
This project aims to analyze the historical stock price and revenue data of Tesla and GameStop using web scraping
This project is focused on building and evaluating several classification models to predict employee promotions. It involves data preprocessing, exploratory data analysis, and the implementation of various machine learning algorithms.
This project demonstrates image colorization using an autoencoder architecture in TensorFlow and Keras. The code takes grayscale images as input and produces corresponding colorized images. The architecture includes downsampling and upsampling layers to capture and reconstruct color information.
Iris dataset analysis (Classification) using multiple models
This script demonstrates how to perform image compression using Principal Component Analysis (PCA) in Python. It uses the scikit-learn library for PCA and OpenCV for image processing.
In this project, I developed a machine learning model to detect rumors on Twitter. The model is based on a Random Forest classifier and was trained on a dataset of tweets. The key steps involved data preprocessing, feature extraction, and model training. The final model achieved impressive performance metrics.
Simple linear regression model with salary dataset
This repository contains a Python script for predicting survival on the Titanic using a Random Forest Classifier. The script utilizes the pandas and scikit-learn libraries for data manipulation and machine learning.
This project focuses on the identification of five essential attributes of any vehicle: type, color, damage status, speed, and license plate number. Leveraging the power of computer vision and machine learning, we have implemented YOLOv8 to achieve accurate and real-time attribute recognition.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.