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Bartosz Mikulski
Building trustworthy data pipelines because AI cannot learn from dirty data
All Stories
Re: DataOps Principles: How Startups Do Data The Right Way
Team vs. a bunch of individuals reporting work time in the same spreadsheet
From Scala to Python - Python dataclasses
Domain model in Python
Notetaking for data science
How to document a project?
Wilson score in Python - example
Using a surrogate model to interpret a machine learning model
How to explain a machine learning model?
Generalized Linear Models — Using linear regression when the dependent variable does not follow Gaussian distribution
Understanding the GLM from the statsmodels package
PCA — how to choose the number of components?
How many principal components do we need when using Principal Component Analysis?
How to avoid bias against underrepresented target classes while training a machine learning model
The difference between KFold and StratifiedKFold in Scikit-learn
How to get the value by rank from a grouped Pandas dataframe
How to rank a grouped data frame in Pandas
The difference between the expanding and rolling window in Pandas
How to use rolling window with datetime (and other types) in Pandas
Write everything down
Lessons learnt from "Practical Data Cleaning" by Lee Baker
Understanding layer size in Convolutional Neural Networks
Filter size, padding, and stride explained
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