Siyada H.'s Projects
Perform ETL on a dataset from Amazon using PySpark.
Build an interactive dashboard using Plotly.js to explore data on the Biodiversity of Belly Buttons. Then deploy the dashboard to a cloud server.
Create worksheets, dashboard, and stories from New York City bike-sharing data with Tableau
Predict credit risk with machine learning models by using different techniques to train and evaluate models with unbalanced classes.
Group Project: we intend to develop a robust machine learning model that will deliver a one-year projection for the price of West Texas Intermediate (WTI) Crude Oil.
Use unsupervised machine learning techniques to analyze cryptocurrency data.
Use the power of Python to automate the vote-counting process for a local election.
Analyze a dataset consisting of 4,000 crowdfunding projects to discover hidden trends.
Use JavaScript's Leaflet library along with the Mapbox API to create visualizations of earthquake data from the U.S. Geological Survey.
Learn how to use R and statistics in order to analyze vehicle data.
Build an app to scrape websites for data pertaining to the Mission to Mars, and then create an HTML page to display.
Perform ETL (Extract, Transform, Load) on several movie datasets to predict popular films for a streaming service.
Create a deep-learning neural network to analyze and classify the success of charitable donations.
Create entity relationship diagrams, perform data modeling, and complete analysis on an employee database using SQL techniques.
Analyze and visualize ride-sharing data by city type using the power of Python, Pandas and Matplotlib.
Use Python and Pandas library to analyze school district data and showcase trends in school performance.
Explore green energy stock performance by analyzing financial data using VBA.
Analyze and visualize climate data as you prepare to open a surf shop using Python, SQLAlchemy, Flask
Config files for my GitHub profile.
UFO Sightings with JavaScript
Plot the relationship between latitude and weather for cities around the world using Python, Pandas and APIs.