Anna Lee's repositories
FIFA_World_Cup
Creating a repository for the group, establishing a supervised machine learning model, building a mockup database using SQL, and determining the appropriate technologies.
Amazon_Vine_Analysis
Given access to 50 datasets and each one contained reviews for a specific product, all of which analyzed Amazon reviews written by members of the paid Amazon Vine program.
Bike_Sharing
This analysis portrays a variety of visualizations that summarize the NYC Citibike data in August of 2019. The goal was to create a business proposal for the Des Moines area.
Credit_Risk_Analysis
Using my skills in data preparation, statistical reasoning, and machine learning I employed different techniques to train and evaluate models with unbalanced classes.
Cryptocurrencies
Using unsupervised machine learning, I created a report that includes what cryptocurrencies are on the trading market and how they could be grouped to create a classification system for this new investment.
MechaCar_Statistical_Analysis
Analyzed the statistical data for 50 vehicle prototypes to help the manufacturing team gain a deeper insight into the models performance.
Neural_Network_Charity_Analysis
Using machine learning and neural networks I created a binary classifier and conducted different models to provide accuracy scores.
Belly_Button
Using Plotly, I created a website displaying a bar, bubble, and gauge chart identifying the top 10 bacterial species from the samples collected.
Election_Analysis
Summarizing specific tasks needed to complete an election audit for the Colorado Board of Elections.
EnergyUtah
Energy usage in Utah and the various types
Kickstarter_Analysis
Understanding specific campaigns concerning their launch dates and funding goals.
Mapping_Earthquakes
Created a website to visually display the differences between the magnitudes of earthquakes all over the world for the last seven days (updated automatically).
Mission_To_Mars
Built an app to scrape websites for data pertaining to the Mission to Mars and created an HTML page displaying my findings.
Movies_ETL
Combined two data sheets and saved them into a SQL database. Created an automated pipeline that takes in new data, transforms it, and loads the data into existing tables.
Practice_BigData
Practice examples using Google Colab Notebooks: working with big data
PyBer_Analysis
Ride-sharing data for three city types (urban, rural, and suburban) to determine the demand for ride shares and to help improve accessibility.
School_District_Analysis
Analyzed data on student funding and students' standardized test scores for a cities school district.
Stock_Analysis
Analyzing different stock data covering a two year period.
UFOs
Created a table to organize and filter data based on specific search criteria using JavaScript and HTML. The webpage is also customized using Bootstrap, allowing users to interact with the webpage.
World_Weather_Analysis
This analysis looks at different weather data patterns around cities worldwide and offers insights based on clients' weather preferences.