Section Name Description
Page Overview of AI and its applications
Page Introduction to Python for AI programming
Page Setting up Python environment for AI development
Page Key libraries and tools for AI (NumPy, Pandas, Matplotlib, TensorFlow, PyTorch)
Data processing and analysis Page Understanding data formats and preprocessing
Page Data wrangling with Pandas
Page Exploratory Data Analysis (EDA) with visualizations
Page Feature engineering and scaling
Machine learning fundamentals Page Introduction to machine learning algorithms
Page Supervised learning: regression and classification
Page Unsupervised learning: clustering and dimensionality reduction
Page Model evaluation and performance metrics
Deep learning with neural networks Page Introduction to deep learning and neural networks
Page Building a simple neural network with Keras/TensorFlow
Page Training and optimizing deep learning models
Page Advanced neural network architectures (CNNs, RNNs, GANs)
AI in practice: building and deploying models URL Python documentation

Official documentation for Python.