Topics
Fluent python
- Part I. Data structures
- Part II. Functions as Objects
- Part III. Classes and Protocols
- Part IV. Control flow
- Part V. Metaprogramming
Example code: https://github.com/fluentpython/example-code-2e
Machine Learning Scientist in Python
- Suppervised Learning with scikit-learn
- Project - Predictive Modeling for Agriculture
- Unsupervised Learning in Python
- Project - Clustering Antarctic Penguin Species
- Linear Classifiers in Python
- Machine Learning with Tree-Based Models in Python
- Project - Predicting Movie Rental Durations
- Extreme Gradient boosting with XGBoost
- Cluster Analysis in Python
- Dimensionality Reduction in Python
- Preprocessing for Machine Learning in Python
- Machine Learning for Time Series Data in Python
- Feature Engineering for Machine Learning in Python
- Model Validation in Python
- Hyperparameter turning in Python
Project - Machine Learning Fundamentals in Python- Introduction to Natural Language Processing in Python
- Natural Language Processing with spaCy
- Feature Engineering for NLP in Python
- Introduction Deep learning with PyTorch
- Intermediate Deep learning with PyTorch
- Image processing in Python
- Introduction to PySpark
- Machine Learning with PySpark
- Winning a Kaggle Competition in Python
Building Transformer models with attention
- Part I: Foundations of Attention
- Part II: From Recurrent Neural Networks to Transformer
- Part III: Building a Transformer from Scratch
- Part IV: Applications
Developing Large Language Models
- Introduction to Deep Learning with PyTorch
- Intermediate Deep Learning with PyTorch
- Deep Learning for Text with PyTorch
- Project: Service Desk Ticket Classification with Deep Learning
- Introduction to LLMs in Python
- Project: Analyzing Car Reviews with LLMs
- Working with Llama 3
- LLMOps Concepts