dpghazi-zz Goto Github PK

cisco-sextant-dashboard

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.

credit-card-fraud-detection

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.

ecommerce-ab-testing

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.

forage-lyft-task-2-model-answer

Task 2 model answer

lyft-rental-fleet

personal-website-aws

Personal website written in HTML/CSS/JavaScript and originally deployed to AWS (S3, Route 53 & Cloudfront) using Namecheap domain.

pisa-2012-data-analysis

Implemented univariate, bivariate, and multivariate Analyses to see how students performed globally from the PISA 2012 Dataset.

quantium-transaction-dashboard

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.

skyscanner-flight-schedule

This simple web app utilizes the Skyscanner Backpack library to add a calendar feature for selecting flight date and automated testing with React.

stack-overflow-big-data-processing

Code for creating a Spark application written in Python and Big Data Processing with Spark (PySpark) and AWS (EMR)

time-series-forecasting-using-prophet

Training time-series prediction models to predict future avocado prices using Prophet

tmdb-movie-data-analysis

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.

twitter-api-web-scraping-and-data-analysis

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.

weather-trends-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.

wine-class-classification

Using Machine Learning algorithm (Logistic Regression) to classify quality red wine