Machine-learning - TechnoScripts

machine-learning

Machine learning tutorials in Python covering models, training, evaluation, and real projects.

Choosing an AI Tech Stack: 3 Real Case Studies

Teams pick the shiny tool first, bend the problem to fit it, and six months later a large language model is doing a job a hundred lines of scikit-learn would have nailed. Choosing an AI tech stack is where projects quietly go wrong before any model code exists. This post gives you a four-axis decision framework, then walks three real case studies to very different, defensible stacks. “The best stack is the boring one that clears your acceptance metric and ... Read More

ML System Design: Recommenders, Feature Stores, Skew

Most interview rounds ask you to write a function; the ML system design round asks you to design a whole machine learning product out loud, and it is the stage that most often decides a senior offer. Given a vague goal like “recommend videos” or “catch fraud”, can you turn it into metrics, data, features, a model, a serving path, and monitoring? This post gives you a fixed skeleton, two fully worked designs, and a graded mock transcript. “Anyone can ... Read More

Deep Learning Capstone: Image Classifier on Hugging Face

A folder of your own photos on one end, a public web demo anyone can click on the other. This image classification project covers that whole distance: fine-tune a pretrained network in PyTorch, push past 90% validation accuracy, read the confusion matrix honestly, then deploy free to Hugging Face Spaces with a proper model card. Everything runs on a plain laptop CPU, no GPU and no paid account. “A model that only lives in your notebook does not exist to ... Read More