Automated Data Collection System, A family member came to me inquiring about possibly improving data collection for a fleet of commercial fishing vessels. After a week I established a Power Automate flow and Excel workbook that automatically collected data on each vessel and their haul. Laptop Web Scrape Cleaning, EDA, and Machine Learning Regression, Independently, I sourced an uncleaned dataset from Kaggle and dealt with invalid values, incorrect data types, and engineered numeric features for non-numeric data. This project was done in Jupyter Notebooks and used python packages like Pandas, Numpy, and regular expressions to make changes to a data set with 1300 rows. After the data cleaning process I wrote a function to run several machine learning models to predict price and found that the XGBoost model I created was able to predict price within 36 dollars. The Jupyter Notebook and csv can be found at: https://github.com/benji-carr/FirstProjects.git