The course will be taught twice a year in the two terms in every Polytechnic and ITE in Singapore. Each course will be 12 weeks long and classes will occur over the weekend (3.5 hours/weekend) and instructors will hold office hours during the week. A typical course mightinclude (depending on the statistics and computing background of the students):

Part 1 - Data Preprocessing

Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression

Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification

Part 4 - Clustering: K-Means, Hierarchical Clustering

Part 5 - Association Rule Learning: Apriori, Eclat

Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling


Our first pilot took place every Sat from 9.00am - 12.30pm at Ngee Ann Polytechnic with 25 girls.

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