Difference between revisions of "Checklists"
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* [http://www.ic.unicamp.br/~sandra/pdf/Hands_On_Machine_Learning_with_Scikit_Learn_and_TensorFlow-427-432.pdf Machine Learning project checklist | IC-Unicamp] | * [http://www.ic.unicamp.br/~sandra/pdf/Hands_On_Machine_Learning_with_Scikit_Learn_and_TensorFlow-427-432.pdf Machine Learning project checklist | IC-Unicamp] | ||
* [http://www.datanami.com/2017/09/01/machine-learning-ready-7-part-checklist/ Machine Learning: Are You Ready? A 7-Part Checklist | Kimberly Nevala] | * [http://www.datanami.com/2017/09/01/machine-learning-ready-7-part-checklist/ Machine Learning: Are You Ready? A 7-Part Checklist | Kimberly Nevala] | ||
| + | * [http://towardsdatascience.com/the-essential-machine-learning-project-checklist-3ad6a7a49c37 The Essential Machine Learning Project Checklist |] [http://PatrickDeGuzman.me |Patrick De Guzman] - Towards Data Science ...To guide you step-by-step from raw data to a working ML model. | ||
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<youtube>ghw7NbuZU2I</youtube> | <youtube>ghw7NbuZU2I</youtube> | ||
Revision as of 21:47, 6 September 2020
YouTube search... ...Google search
Checklists
- ML project checklist | Subhojit Banerjee - Medium
- The Machine Learning Project Checklist | Matthew Mayo
- A Checklist for working with Complex ML Problems | Sanchit Aggarwal
- How to Use a Machine Learning Checklist to Get Accurate Predictions, Reliably (even if you are a beginner) | Jason Brownlee
- Machine Learning project checklist | IC-Unicamp
- Machine Learning: Are You Ready? A 7-Part Checklist | Kimberly Nevala
- The Essential Machine Learning Project Checklist | |Patrick De Guzman - Towards Data Science ...To guide you step-by-step from raw data to a working ML model.
Common Mistakes
- 12 predictive analytics screw-ups | Robert L. Mitchell
- Ten quick tips for machine learning in computational biology | Davide Chicco
- Top 6 errors novice machine learning engineers make | Christopher Dossman
- 5 machine learning mistakes – and how to avoid them | SAS
- 13 Common Mistakes Amateur Data Scientists Make and How to Avoid Them? | Pranav Dar - Analytics Vidhya
