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

Official documentation for Python.