🛠️ AI Tools & Frameworks

Get hands-on with the essential tools for building AI models:

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🐍 Python Basics

Python is the core language for AI development due to its simplicity, readability, and vast ecosystem of libraries.

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🔢 NumPy & pandas

• NumPy: A fundamental package for scientific computing with Python, especially for handling large arrays and matrices.
• pandas: A powerful library for data manipulation and analysis, particularly useful for handling structured data like tables.

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📚 Scikit-learn

Scikit-learn is one of the most widely used libraries for machine learning. It provides simple and efficient tools for data mining and data analysis.

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🤖 TensorFlow / PyTorch

• TensorFlow: An open-source library primarily used for deep learning and machine learning models. It offers both high-level and low-level APIs for neural network construction.
• PyTorch: Another open-source deep learning framework, known for its flexibility and dynamic computation graphs, widely used in research and production.

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🤗 Hugging Face Transformers

A popular library for working with state-of-the-art pretrained models for natural language processing (NLP). Hugging Face offers models for tasks like text generation, translation, and summarization.