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 1928·3 min read·Jan 20, 2024----
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.·7 min read·Oct 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.6 min read·May 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…9 min read·Jan 21, 2022--1--1
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…6 min read·Jan 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…5 min read·Jan 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.6 min read·Dec 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.5 min read·Dec 4, 2021--2--2
Patrick StewartUnderstanding support vector machines: part 1 of 3Support vector machines are one of the most effective algorithms in solving classification tasks. By the end of this first article, I hope…3 min read·Oct 30, 2021----
Patrick StewartData Science fundamentals: explaining the bias-variance trade-offAs a data scientist, your aim when building a suitable model is to optimise the prediction of a target variable based on a number of…3 min read·Oct 10, 2021----