FastAPI Observability Lab with Prometheus and Grafana: Complete Guide
Author(s): Faizulkhan Originally published on Towards AI. Table of Contents Lab Overview & Concept Project Architecture Code Deep Dive Prometheus Operations Grafana Operations FastAPI Metrics: Complete Reference Metrics Counting Process Practical Examples Lab Overview & Concept What is This Lab? This is …
Building a FastAPI CRUD with ML‑Ready API: A Complete Theoretical and Practical Guide
Author(s): Faizulkhan Originally published on Towards AI. FastAPI has become the go‑to framework for Machine Learning deployment and modern backend development. This article is a complete lab-style walkthrough that teaches us FastAPI from theoretical foundations to production deployment. Why FastAPI? The Theoretical …
MLflow Evaluation Lab — Comprehensive Guide
Author(s): Faizulkhan Originally published on Towards AI. Table of Contents Theoretical Discussion of Algorithms Dataset Descriptions Code Explanations Docker Deployment Postman Testing Guide Architecture Diagrams 1. Theoretical Discussion of Algorithms 1.1 Logistic Regression Overview: Logistic Regression is a linear classification algorithm that …
Data Exploration with Python: A Hands-On Demo in EDA (and Why It’s Essential for Model Building)
Author(s): Faizulkhan Originally published on Towards AI. Exploratory Data Analysis (EDA) is the bridge between raw data and reliable machine-learning models. In this post, we will learn the “why” and the “how” through a complete, runnable example in Python using NumPy, Pandas, …
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