Isabella Lindgren – Medium

Isabella Lindgren

Published in
Towards Data Science

5 Reasons Why I Became a Data Scientist

The top deciding factors why I took the leap and decided to switch from being a biologist to a fully fledged data scientist.

May 11, 2020

5 Reasons Why I Became a Data Scientist

May 11, 2020

Published in
Towards Data Science

Dealing 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, 2020

Dealing with Highly Dimensional Data using Principal Component Analysis (PCA)

Apr 24, 2020

Published in
Towards Data Science

5 Ways to Improve Your Data Science Skills in the time of COVID-19

Resources and ideas on how to up your data science game in 2020.

Apr 9, 2020

5 Ways to Improve Your Data Science Skills in the time of COVID-19

Apr 9, 2020

Published in
Towards Data Science

A Beginner’s Guide to Deep Learning

A Crash Course on Artificial Neural Networks for new Data Scientists!

Mar 24, 2020

A Beginner’s Guide to Deep Learning

Mar 24, 2020

Published in
Towards Data Science

Evaluation Metrics for Classification Problems in Machine Learning

A breakdown of the different ways to evaluate the quality of your classification machine learning model.

Jan 28, 2020

Evaluation Metrics for Classification Problems in Machine Learning

Jan 28, 2020

Published in
Analytics Vidhya

The Dangers of Under-fitting and Over-fitting

Understanding the Bias-Variance Trade-off

Dec 2, 2019

The Dangers of Under-fitting and Over-fitting

Dec 2, 2019

Published in
MyTake

Back to Basics: Hypothesis Testing

What is hypothesis testing? Why is it so important?

Oct 9, 2019

Back to Basics: Hypothesis Testing

Oct 9, 2019

Transformations, Scaling and Normalization

By: Isabella Lindgren

Jul 25, 2019

Transformations, Scaling and Normalization

Jul 25, 2019

Isabella Lindgren

Isabella Lindgren

Marine Biologist turned Health Researcher and Data Scientist. Connect with me! www.linkedin.com/in/isabellalindgren

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