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Soo 's Projects

kepler-exoplanet-project icon kepler-exoplanet-project

Developed a predictive and planet categorization model using supervised and unsupervised learning techniques respectively to predict whether a Kepler Object of Interest is classified as a candidate, confirmed or false positive. Derived an accuracy classification rate of 89% by utilizing the following classification techniques: Decision Tree, Randomforest, KNN, SVM, Neural Network, K-Means Cluster.

lightfm icon lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

minimal-mistakes icon minimal-mistakes

:triangular_ruler: A flexible two-column Jekyll theme perfect for building personal sites, blogs, and portfolios.

sql-database-project icon sql-database-project

Created an entity-relationship data model using Barker data modelling technique for a polo club in Denmark. Developed a MySQL database using XAMPP platform that aligns with the data model. Populated dataset with test data to allow basic querying and wrote SQL query to analyze the key aspects of the business using the data model.

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