Patrick StewartinPatrick’s notesBuilding a personal website using JekyllSo, after much procrastination, I have finally put together a personal website (of sorts) to keep better track of blog posts, personal…Oct 5Oct 5
Patrick StewartinPatrick’s notesUnderstanding Object Oriented Programming (OOP) and more advanced conceptsObject-oriented programming (OOP) is a key programming paradigm that focuses on the concept of ‘objects’. In OOP, problems are solved by…Jul 5Jul 5
Patrick StewartinPatrick’s notesKaggle is not all you need“A ship in harbour is safe, but that is not what ships are built for.” John A Shedd 1928Jan 20Jan 20
Patrick StewartQuestions and answers to data science interview questions — Part 1This article provides questions and answers to various data science questions that you might be asked in an interview.Oct 30, 2022Oct 30, 2022
Patrick StewartinPatrick’s notesThe essentials that Data Scientists need to know about web scrapingWeb scraping is a very important tool that Data Scientists should have in their arsenal.May 8, 2022May 8, 2022
Patrick StewartinPatrick’s notesPredicting the sentiment of a tweet using NLP and Classification techniquesWhile Twitter has a love-hate relationship for many people, what we can all agree on is it represents one of the best sources for…Jan 21, 20221Jan 21, 20221
Patrick StewartinPatrick’s notesLinear algebra for machine learning — part 1You need to learn linear algebra to truly understand the wonderful world of machine learning. This is part 1 of a number of articles on…Jan 8, 2022Jan 8, 2022
Patrick StewartinPatrick’s notesUnderstanding autoencodersAutoencoders are an unsupervised learning technique used across a range of real-life applications such as dimensionality reduction, feature…Jan 2, 2022Jan 2, 2022
Patrick StewartUnderstand your media channel effectiveness through mixed marketing modellingThis article gives you the crucial understanding required to model different marketing channels effectiveness using media mix modelling.Dec 23, 2021Dec 23, 2021
Patrick StewartWhat data scientists keep missing about imbalanced datasetsMany data scientists fail to fully understand the problems imbalanced datasets cause and the methods to alleviate this.Dec 4, 20212Dec 4, 20212
