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 two pilots took place every Sat from 9.00am - 12.30pm at Ngee Ann Polytechnic with a batch of almost 30 students each time. The students graduated after presenting the results of their capstone projects.

Screen Shot 2018-08-20 at 9.39.13 PM.png