Articles / Topic guide
Topic guide
Practical Python, scikit-learn, API, and tooling tutorials for building useful ML systems.
Foundation content for teams standardizing Python ML practices before scaling.
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Jun 2026 · LLMs & Agents
Use Python, Pydantic, and the Instructor library to extract structured data from unstructured text. Parse invoices and job postings into typed, validated Python objects reliably and at scale.
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Jun 2026 · LLMs & Agents
Build an autonomous data analysis agent using LangGraph. Learn how agents differ from RAG, and implement the ReAct loop with tools for querying and summarizing data.
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Jun 2026 · MLOps
Go from fragile training scripts to robust, observable ML workflows using Prefect. Schedule retraining, handle failures gracefully, and monitor every run.
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Jun 2026 · MLOps
Learn how to detect data drift and model degradation in production using Evidently AI. Build automated reports and alerts before your model silently fails.
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May 2026 · Machine Learning
A step-by-step guide to building your first ML model: data exploration, preprocessing, cross-validation, hyperparameter tuning, and evaluation: all with scikit-learn.
ReadMay 2026 · Operations Research
Use pyworkforce to assign work shifts and minimize the gap between required and scheduled resources, with built-in support for preferences, banned shifts, and rest rules.
ReadApr 2026 · Machine Learning
Explore how to use ExponentialAdapter and InverseAdapter in sklearn-genetic-opt to dynamically adjust mutation and crossover probabilities.
ReadApr 2026 · Machine Learning
Use GAFeatureSelectionCV from sklearn-genetic-opt to find the optimal feature subset using evolutionary algorithms: capturing feature interactions that filter methods miss and automatically determining how many features to keep.
ReadApr 2026 · Data Systems
Build a real-time anomaly detection pipeline that consumes Apache Kafka streams and scores events with a scikit-learn model: complete with producer, consumer, and Docker Compose setup.
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Mar 2026 · MLOps
Wrap a trained scikit-learn model in a FastAPI REST endpoint, containerize it with Docker, and serve predictions at scale: a complete MLOps deployment template with a working GitHub repository.
ReadMar 2026 · Machine Learning
Compare grid search, random search, and evolutionary algorithms for hyperparameter optimization with sklearn-genetic-opt.
ReadFeb 2026 · Machine Learning
Hyperparameter tuning with GASearchCV from sklearn-genetic-opt using evolutionary algorithms.
ReadFeb 2026 · MLOps
Use MLflow to track experiments, compare runs, version models in the Model Registry, and promote the best model to production: all without losing reproducibility.
ReadJan 2026 · LLMs & Agents
Build a Retrieval-Augmented Generation system with LangChain, ChromaDB, and OpenAI. Cover document indexing, MMR-based retrieval, evaluation with RAGAS, and production optimizations like re-ranking and semantic caching.
ReadJan 2026 · Operations Research
Model the minimum headcount required to meet demand using pyworkforce: solving the workforce planning problem that operations teams face in call centers and shift-based industries.
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