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Name: Donald Ghazi
Type: User
Bio: ✌️
Twitter: dpghazi
Location: San Francisco, CA
Blog: https://donaldghazi.com/
Name: Donald Ghazi
Type: User
Bio: ✌️
Twitter: dpghazi
Location: San Francisco, CA
Blog: https://donaldghazi.com/
This web application uses React for the frontend to display the user’s public IP addresses (both ipv4 and ipv6) and the packet latency associated with a service called Pylon.
Examined credit card transactions by European card holders, and created machine learning models (logistic regression, random forests, and feed-forward neural network) to classify a given transaction as fraudulent or non-fraudulent.
For this project, I will be working to understand the results of an A/B test run by an e-commerce website if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.
Task 2 model answer
Personal website written in HTML/CSS/JavaScript and originally deployed to AWS (S3, Route 53 & Cloudfront) using Namecheap domain.
Implemented univariate, bivariate, and multivariate Analyses to see how students performed globally from the PISA 2012 Dataset.
This web application uses Python and Dash that displays its sales data with a radio button, allowing the client to see how the change has affected the overall profits and analyze their product’s sales by region.
This simple web app utilizes the Skyscanner Backpack library to add a calendar feature for selecting flight date and automated testing with React.
Code for creating a Spark application written in Python and Big Data Processing with Spark (PySpark) and AWS (EMR)
Training time-series prediction models to predict future avocado prices using Prophet
This data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue. The goal of this project is to gather various properties associated with movies and visualize them to identify patterns in the dataset.
Wrangling, analyzing and visualizing data gathered from WeRateDogs (@dog_rates) Twitter account, and an image prediction algorithm results. In this project, I queried Twitter’s API for each tweet’s JSON data to extract meaningful information (e.g., favorite count, retweet count) for data analysis.
Analyzing local and global temperature data using Python, SQL, and Google Sheets. In this project, I compared the temperature trends of Long Beach, CA to the overall global temperature trends.
Using Machine Learning algorithm (Logistic Regression) to classify quality red wine
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.