Windows

Build a practical semantic search system with Python and Sentence Transformers. Learn how text becomes embeddings, compare queries with documents, rank results by similarity, and turn the prototype into a reusable search component.

Learn how npm manages JavaScript project dependencies, scripts, versions, and lockfiles. Build a practical Node.js project and understand package.json, npm install, npm scripts, devDependencies, and package-lock.json.

Learn how real data science starts before machine learning. Work with a messy sales dataset in Python, clean missing and inconsistent values, explore patterns with pandas, visualize business trends, and turn raw CSV data into practical recommendations.

Build a real sentiment analysis application with Python and Hugging Face Transformers. Learn how pretrained NLP models work, run inference locally, interpret confidence scores, process multiple reviews, expose the model through an API, and understand when sentiment models can fail.

Build your first machine learning project with Python by turning a small dataset into a working prediction model, from data preparation and feature selection to training, evaluation, and saving the model.

Learn Python from the ground up with practical examples covering variables, data types, control flow, functions, collections, modules, exceptions, files, OOP, virtual environments, packages, testing, and real-world project structure.