8a Lab - Implement ML Plan
Refer to my Jupyter Notebook for more details!
Over this past summer at UCLA, I delved into various aspects of Machine Learning, from mastering data preprocessing techniques using Python and the available Python libraries - NumPy, Pandas, Matplotlib, Scikit-Learn, and Seaborn to understanding the various methods to train our models. Currently, I am working on a real-world industry challenge project with Break Through Tech & We Inspect to analyze how the different mold types may play a factor into peoples' health (Project will be updated onto Github later on).
