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Learn to build a terminal-based task tracker using Python, Typer, Rich, and SQLite3. Create a CLI app to manage todos efficiently with colorized output and database storage.
Learn to deploy ML models using Google Cloud Run, from building a TensorFlow app with Flask to containerizing with Docker and final deployment.
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.
Discover essential Python skills through hands-on tutorials covering OOP, NumPy, Flask web development, regex patterns, and HuggingFace for machine learning applications.
Discover how to build intelligent chatbots using PyTorch and NLP techniques, from basic concepts to creating a complete GUI application with Python and Tkinter.
Master TensorFlow 2 fundamentals through hands-on projects including neural networks, CNNs, RNNs, and real-world applications like image classification and NLP.
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.
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