My Top 5 Trending Python Libraries to use for Data Analytics Projects in 2022As data analytics tends to continue to be evolving, we need to anticipate change and stay relevant (does this ring you a bell back in your…Feb 5, 2022Feb 5, 2022
Published inTowards Data ScienceExplaining Regression Methods on the Selling Price of HDB Resale Flats using SHAPSHAP — a tool that helps to explain what are the main features that affect the output of the regression modelJan 24, 2022Jan 24, 2022
Published inPython in Plain EnglishPlay with Machine Learning using PyCaretTo some, this Python library of conducting machine learning has been used frequently since its introduction. To me, this is my first time…Oct 10, 2021Oct 10, 2021
Published inTowards Data SciencePosts & Comments on Euro 2020 by the Redditors’NLP: Extracting the main topics using Latent Dirichlet Allocation (LDA)Sep 3, 20211Sep 3, 20211
Published inTowards Data SciencePredict the Selling Price of HDB Resale FlatsConducting linear regression to predict the selling price of HDB resale flats from January 1990 to April 2021Aug 26, 2021Aug 26, 2021
Using Machine Learning To Examine Countries’ Success in the Tokyo 2020 OlympicsProblem StatementAug 15, 2021Aug 15, 2021
The Road Ahead Towards A New NormalDisclaimer: Any views or opinions represented in this article are personal and belong solely to the author and do not represent those of…Aug 6, 2021Aug 6, 2021
Published inTowards Data ScienceDengue Cases of each Town CouncilSingapore’s Dengue Cases in July 2020 and December 2020Jan 6, 20211Jan 6, 20211
Published inThe StartupKeeping Up With the Bubble Tea (and Others) on Google in 2020Visualizing Google Trends’ data using RDec 27, 20201Dec 27, 20201
Published inTowards Data ScienceDo my Top 5 Spotify Artists of 2020 have something in common?Discovering insights to understand the similarities among the artistsDec 15, 2020Dec 15, 2020