Isabella LindgreninTowards Data Science5 Reasons Why I Became a Data ScientistThe top deciding factors why I took the leap and decided to switch from being a biologist to a fully fledged data scientist.May 11, 20202May 11, 20202
Isabella LindgreninTowards Data ScienceDealing with Highly Dimensional Data using Principal Component Analysis (PCA)A beginners guide to PCA and how to implement it using sklearn (with code!)Apr 24, 20201Apr 24, 20201
Isabella LindgreninTowards Data Science5 Ways to Improve Your Data Science Skills in the time of COVID-19Resources and ideas on how to up your data science game in 2020.Apr 9, 20201Apr 9, 20201
Isabella LindgreninTowards Data ScienceA Beginner’s Guide to Deep LearningA Crash Course on Artificial Neural Networks for new Data Scientists!Mar 24, 2020Mar 24, 2020
Isabella LindgreninTowards Data ScienceEvaluation Metrics for Classification Problems in Machine LearningA breakdown of the different ways to evaluate the quality of your classification machine learning model.Jan 28, 20202Jan 28, 20202
Isabella LindgreninAnalytics VidhyaThe Dangers of Under-fitting and Over-fittingUnderstanding the Bias-Variance Trade-offDec 2, 20191Dec 2, 20191
Isabella LindgreninMyTakeBack to Basics: Hypothesis TestingWhat is hypothesis testing? Why is it so important?Oct 9, 20191Oct 9, 20191
Isabella LindgrenTransformations, Scaling and NormalizationBy: Isabella LindgrenJul 25, 20192Jul 25, 20192