AI Programming with Python: Recursos

Tema	Nombre	Descripción
	Overview of AI and its applications
	Introduction to Python for AI programming
	Setting up Python environment for AI development
	Key libraries and tools for AI (NumPy, Pandas, Matplotlib, TensorFlow, PyTorch)

Data processing and analysis	Understanding data formats and preprocessing
	Data wrangling with Pandas
	Exploratory Data Analysis (EDA) with visualizations
	Feature engineering and scaling

Machine learning fundamentals	Introduction to machine learning algorithms
	Supervised learning: regression and classification
	Unsupervised learning: clustering and dimensionality reduction
	Model evaluation and performance metrics

Deep learning with neural networks	Introduction to deep learning and neural networks
	Building a simple neural network with Keras/TensorFlow
	Training and optimizing deep learning models
	Advanced neural network architectures (CNNs, RNNs, GANs)

AI in practice: building and deploying models	Python documentation	Official documentation for Python.

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