Consulting
Speaker
beproductive.tech
Bartosz Mikulski
Data Craft - making data engineering trustworthy because AI cannot learn from dirty data
All Stories
Product/market fit - buidling a data-driven product
How to test a product idea?
How to assign people to groups in a fair way using genetic algorithms
Using Helisa and Jenetics in Scala
Genetic algorithms in Scala - solving optimization problems
Using Helisa and Jenetics to help Fallout players
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
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