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.5 min read·May 11, 2020--2--2
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!)6 min read·Apr 24, 2020--1--1
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 2020.8 min read·Apr 9, 2020--1--1
Isabella LindgreninTowards Data ScienceA Beginner’s Guide to Deep LearningA Crash Course on Artificial Neural Networks for new Data Scientists!6 min read·Mar 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.6 min read·Jan 28, 2020--2--2
Isabella LindgreninAnalytics VidhyaThe Dangers of Under-fitting and Over-fittingUnderstanding the Bias-Variance Trade-off5 min read·Dec 2, 2019--1--1
Isabella LindgreninMyTakeBack to Basics: Hypothesis TestingWhat is hypothesis testing? Why is it so important?6 min read·Oct 9, 2019--1--1
Isabella LindgrenTransformations, Scaling and NormalizationBy: Isabella Lindgren5 min read·Jul 25, 2019--2--2