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Avoiding Machine Learning Pitfalls: From a practitioner’s perspective — Part 5
Avoiding Machine Learning Pitfalls: From a practitioner’s perspective — Part 5
The idea of this blog is to show how to report your results once you’re done with building models and have a way to compare the different…
Abinaya Mahendiran
Jan 19, 2023
Avoiding Machine Learning Pitfalls: From a practitioner’s perspective — Part 4
Avoiding Machine Learning Pitfalls: From a practitioner’s perspective — Part 4
This blog will throw light on how to compare the models that you have built fairly. As part of any ML project, a data scientist will start…
Abinaya Mahendiran
Aug 8, 2022
Avoiding Machine Learning Pitfalls: From a practitioner’s perspective — Part 3
Avoiding Machine Learning Pitfalls: From a practitioner’s perspective — Part 3
In this blog, let us try to understand how to robustly evaluate the models that you have built. Model building is an interesting process…
Abinaya Mahendiran
Jul 12, 2022
Avoiding Machine Learning Pitfalls : From a practitioner’s perspective — Part 2
Avoiding Machine Learning Pitfalls : From a practitioner’s perspective — Part 2
The aim of this blog is to understand how one can reliably build machine learning models. Many data science aspirants choose the field of…
Abinaya Mahendiran
Jul 5, 2022
Avoiding Machine Learning Pitfalls : From a practitioner’s perspective
Avoiding Machine Learning Pitfalls : From a practitioner’s perspective
The aim of this blog is to understand how the paper “How to avoid machine learning pitfalls: a guide for academic researchers” is…
Abinaya Mahendiran
Jun 28, 2022
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