earlyann's Projects
A beautiful, simple, clean, and responsive Jekyll theme for academics
Using Tableau to explore the data and a CatBoost classification model to predict loan defaults
Ensemble classifier to identify churned customers. Using Great Expectations to validate data.
Using machine learning to predict the success of a call campaign
A dashboard look at bellybutton biodiversity.
Using the CodeLlama 13B Instruct model to chat with a GitHub repo - LangChain
A pipeline breaking down a spreadsheet of crowdfunding data into 3NF and building a PostgreSQL database from it.
K-means clustering of different crypto-currencies by returns.
A Keras Sequential neural network classifier
Kmeans clustering of health predictors
Using a k-means model to help in analyzing customer patterns.
Examining the intersection of CO2 emissions, GDP and population on a global scale.
XGBoost forecasting model leveraging hourly historical data to predict future energy usage patterns.
Using SERP API Google job search results and Python's Natural Language Toolkit for api fed job searching.
Using Apriori algorithm for association rules, segmenting and consumer suggestions
A streamlit app that feeds an AWS RDS database so I can keep track of my climbing progress at the local gyms.
Multiclass classification models to determine if a horse will live based on gathered health features
Turning Instagram data csv files into Postgres and SQLite databases
Using BeautifulSoup to scrape news and fact about Mars
A visualization of the mass shootings in the USA from 1982-2023
Analysis of 10 different tumor regimens on mice subjects.
Map showing all global earth quakes, their depth and magnitude for the past 30 days.
Using the openweather API and geoapify API to create a map of vacation locations based on weather preferences.
school data analysis
Using and comparing Support Vector machine, Random Branch Forest and Easy Ensemble algorithms to predict if a stock will have a positive or negative annual return.
A project using SQLAlchemy to explore and visualize climate data from Hawaii.
A machine learning model that predicts what shows you would like based on feature input, using DistillBERT and XGBoost