Blog
Tutorials, case studies, and Abdul's learning journey.
A blueprint for taking experiments into production using feature stores, automated validation, and modern deployment patterns.
A deep dive into designing, training, and deploying churn prediction models that deliver measurable business impact. From feature engineering to real-time inference.
Automate refreshes, narratives, and alerting around Power BI using Python scripts and serverless hooks.
A comprehensive guide to developing convolutional neural networks for computer vision tasks, covering architecture design, data augmentation, transfer learning, and deployment strategies.
A comprehensive exploration of recommendation system architectures, from basic collaborative filtering to advanced hybrid approaches that increased click-through rates by 12%.
A comprehensive guide to feature engineering techniques that can make or break your machine learning models. Learn how to create features that capture domain knowledge and improve model performance.
A deep dive into model evaluation metrics, monitoring strategies, and production ML observability. Learn how to detect model degradation and maintain performance in production.