Amy Lio's repositories
Amazon_Vine_Analysis
Big Data analysis using Google Colab, Pyspark, Postgres/pgAdmin, AWS RDS, Pandas and SQL
Movies-ETL
Using ETL (Extract, Transform, Load) to collect, import and process data using SQL Database, Python, Pandas and PostgresSQL.
BellyButtonBiodiversity
Building a webpage using Plotly.js, a Javascript visualization library to plot data from external files and/or web-sources into a bar, pie or scatter plot chart. Utilized functional programming and methods to manipulate the data to achieve results.
BikeSharing
Create worksheets, dashboards and stories to visualize data using Tableau.
Credit_Risk_Analysis
An analysis using Machine Learning algorithms to identify credit card risk using a dataset from LendingClub.
Cryptocurrencies
An analysis using unsupervised Machine Learning algorithm to discover unknown patterns.
MappingEarthquakes
Creating interactive maps using Leaflet.js library, Javascript, and HTML to retrieve earthquake information from a GeoJSON file and plot the results in a visual format.
UFOs
Using Javascript to build dynamic webpages and other customization tools that include Bootstrap, HTML, and CSS.
Election_Analysis
Project example using python
Kickstarter-Analysis
Performing analysis on kickstarter data to identify trends using Excel
Mission-to-Mars
Web scraping methods to extract data using Chrome Developer tools to identify HTML components, Beautiful Soup/Splinter to automate the scrape, MongoDB to store the data, and Flask to display the data.
Neural_Network_Charity_Analysis
An exercise in Neural Networks and Deep Learning Models using TensorFlow and Pandas libraries in Python to preprocess datasets and create a predictive binary classifier.
Pewlett_Hackard_Analysis
Creating SQL database and using PostgreSQL and pgAdmin
Portfolio
A showcase of projects that express my experience with SQL, HTML, Javascipt, CSS, Bootstrap, Python, ETL, and R.
PyBer_Analysis
Analysis using Python scripts, Pandas Library, Jupyter Notebook and Matplotlib
School_District_Analysis
Project example using Jupyter Notebook and Pandas Library
World_Weather_Analysis
Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.