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Master machine learning algorithms by building KNN, regression, SVM, decision trees, clustering, and more from scratch using Python without external libraries.
Master advanced Python concepts including decorators, generators, threading, multiprocessing, and context managers through hands-on tutorials and practical examples.
Master Google's Gemini API integration with Python SDK, covering authentication, prompts, chats, multimodal features, and Gemini 2.5 thinking models in this hands-on tutorial.
Build a Python command-line task tracker with Typer commands, Rich tables, and SQLite persistence for managing todos.
Deploy a TensorFlow model as a Flask web service on Google Cloud Run using Docker and a prediction endpoint.
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