IT Career Guides & Free Resources
Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.
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Prompt Engineering: Techniques That Actually Improve Output
Most prompt advice is a list of tips. This guide takes one job, pulling three fields out of customer emails, and rewrites the prompt seven times, scoring each version on the same twelve emails. An example and a schema fixed the format; definitions and asking for evidence before the verdict fixed the meaning.
Anomaly Detection: Techniques and Real-World Use Cases
How anomaly detection works in practice: rules and thresholds, z-scores and the masking problem that lets outliers hide themselves, robust median-based scores, Isolation Forest, anomalies in time series, and how to evaluate a detector when almost nothing is labelled, with fraud, sensor and data-quality use cases.
Handling Imbalanced Datasets: Techniques That Work
Imbalanced dataset techniques compared on real screening data where only 2.3% of cases are positive: what class weights, oversampling, SMOTE and undersampling really change, why moving the threshold did better, how a stronger model beat every resampling trick, and how resampling before the split fakes a great score.