Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.
Unified analytics engine for large-scale data processing with APIs in Scala, Java, Python, and R.
A self-hosted A-share quant workbench for building strategies, monitoring, backtesting, and LLM-assisted analysis, packaged as one Docker container.