Amarilli's repositories
belly-button-challenge
Building an interactive dashboard to explore the Belly Button Biodiversity dataset using JavaScript, D3, Plotly, HTML and CSS.
Crowdfunding_ETL
ETL project. Building a pipeline using Python, Pandas, dictionary methods, regular expressions, and SQL to extract, transform, and load the data.
CryptoClustering
Using Python and unsupervised learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes.
data-collection-challenge
Web scraping to find news and data about Mars
leaflet-challenge
A visualization of USGS earthquakes data of the last 30 days using Leaflet.
Neural-Network-Model
binary classifier that utilizes advanced machine learning algorithms and neural networks to accurately predict the success rate of funding applicants
nosql-challenge
Exploring The UK Food Standards Agency’s evaluation of various establishments across the United Kingdom using MongoDB.
sqlalchemy-challenge
A climate analysis about Honolulu, Hawaii using SQLalchemy, Python, and Flask to create a climate app.
Texas-Education-and-Accountability-Rating-a-Machine-Learning-Model
Machine Learning Model to predict a school's accountability rating
Texas-ISDs-Flask-App
Education and Funding: A Visualization
credit-risk-classification
Machine learning model that predicts borrowers' creditworthiness using a dataset of historical lending activity from a peer-to-peer lending services company.
Home_Sales
In pursuit of significant metrics for home sales data, Google Colab and SparkSQL were employed to extract essential insights.
python-api-challenge
Phyton API Challenge
sql_challenge
Using an Entity Relationship Diagram and SQL to gather information about a company's previous employees.