LLM Finetuning : RunPod and Multi-GPU Practice
Packed with LLM Fine-Tuning Know-how, learned from Silicon Valley LLM Project Practitioners.
Basic
LLM, RunPod, openAI API
LLM Finetuning : RunPod and Multi-GPU Practice
Python Algorithmic Trading Part 3: Cloud Trading Automation
This course covers the process of automating algorithmic trading in local and cloud environments, and focuses on hands-on practice.
Intermediate
Python, Quant, github-actions
Python Algorithmic Trading Part 3: Cloud Trading Automation
Python Algorithmic Trading Part 2: Real-Time Algorithmic Trading with the Interactive Brokers API
You can systematically learn stock trading automation using Python and the Interactive Brokers API, which holds the top spot in global market share.
Intermediate
Python, oop, Quant
Python Algorithmic Trading Part 2: Real-Time Algorithmic Trading with the Interactive Brokers API
Python Algorithm Trading Part 1: Python Data Analysis for Algorithm Trading
Learn a systematic approach to S&P 500 pair trading with Python. Lay the foundation for an investment strategy that excludes emotions through professional data analysis.
Basic
Python, oop, Quant
Python Algorithm Trading Part 1: Python Data Analysis for Algorithm Trading
Practical Docker: Creating your own deep learning cloud computer with Docker
You can create a deep learning analysis environment in the cloud using Docker. When Docker images managed by Google, MS, etc. are combined with the cloud, you can work with the latest deep learning analysis methods on your computer.
Basic
Docker, Virtualization, Python
Practical Docker: Creating your own deep learning cloud computer with Docker
