IT Career Guides & Free Resources
Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics β written by GloryTecks trainers in Hyderabad.
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Testing Machine Learning Code and Data
ML code can pass every unit test and still ship a broken model, because data and model behaviour need tests of their own. This guide writes nine pytest checks for a real model, covering schema, invariants, plausibility, a baseline gate and behaviour, and one catches a genuine sensor fault in the data.
Pandas Performance: Making Your Code 10x Faster
Where pandas code loses its time and the fixes that recover it, each timed on 200,000 rows: replacing iterrows and row-wise apply with column arithmetic, np.select for if-else logic, built-in groupby aggregations instead of lambdas, category columns for memory, and loading only what you need.