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This project involved exploring object classification using machine learning models from scikit-learn, with a focus on dimensionality reduction to simplify data complexity. Additionally, a comprehensive data narrative was created to illustrate the process and insights gained, utilizing Python libraries for data analysis and visualization.
A Python package of Taiyishenshu, one of the three greatest Ancient Chinese Divination Tools ever. Python 太乙神數,占天文異象、占國運人事、占戰爭兵陣。本套件包含太乙年計、月計、日計、時計、分計、命法。
This project focuses on predicting the income of individuals based on a diverse set of demographic and socio-economic features. Using the Adult Income dataset, I used a Random Forest model to address this classification task.