All projects and coursework using python to solve real business problems such as customer segmentation, recommendation system, churn prediction, etc learnt from the Data Master Bootcamp by Xlab Digital.
See my final project here.
Perform a mall customer segmentation using unsupervised machine learning algorithm, K-means Clustering. The PyCaret library is used to create the model, evaluate and plot relevant visualizations.
Create cigarette recommendation system for smokers based on Cigarette Rating by Smokers dataset, including content-based filtering and collaborative filtering using matrix factorization and NMF technique.
Earned under the condition of participating more than 80% of the class & activities, and scoring at least 80% of the final examination
