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Machine Learning Notes

Tutorials, case studies, and Abdul's learning journey.

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6 min
2/2/2025

Designing Reliable ML Pipelines in 2025

A blueprint for taking experiments into production using feature stores, automated validation, and modern deployment patterns.

mlopspipelinespython
12 min
1/15/2025

Building Production-Ready Churn Prediction Models: Lessons from a 15% Retention Improvement

A deep dive into designing, training, and deploying churn prediction models that deliver measurable business impact. From feature engineering to real-time inference.

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5 min
1/15/2025

Power BI + Python Automation for Insight Ops

Automate refreshes, narratives, and alerting around Power BI using Python scripts and serverless hooks.

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15 min
1/8/2025

From Theory to Production: Building CNN Models for Industrial Defect Detection

A comprehensive guide to developing convolutional neural networks for computer vision tasks, covering architecture design, data augmentation, transfer learning, and deployment strategies.

deep-learningcomputer-visioncnntransfer-learningproduction
14 min
12/20/2024

Building Hybrid Recommendation Systems: Combining Collaborative and Content-Based Filtering

A comprehensive exploration of recommendation system architectures, from basic collaborative filtering to advanced hybrid approaches that increased click-through rates by 12%.

recommendation-systemsmachine-learningcollaborative-filteringnlpproduction
11 min
12/10/2024

Feature Engineering Mastery: Transforming Raw Data into ML Gold

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.

feature-engineeringmachine-learningdata-sciencepythonbest-practices
13 min
11/25/2024

Beyond Accuracy: Comprehensive Model Evaluation and Production Monitoring

A deep dive into model evaluation metrics, monitoring strategies, and production ML observability. Learn how to detect model degradation and maintain performance in production.

mlopsmodel-evaluationmonitoringproductionobservability