In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will learn how to identify the profit source and structure of basic quantitative trading strategies. This course will help you gauge how well the model generalizes its learning, explain the differences between regression and forecasting, and identify the steps needed to create development and implementation backtesters. By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks.
Familiarization with basic concepts in Machine Learning and Financial Markets; advanced competency in Python Programming.
- 5 stars44.12%
- 4 stars30.15%
- 3 stars14.62%
- 2 stars4.43%
- 1 star6.65%
來自INTRODUCTION TO TRADING, MACHINE LEARNING & GCP的熱門評論
Would be nice to have some extra step at the end of the lad to actually build a trading strategy instead of stopping at the fitting of the model
Great for beginners! A lot of examples and theories with practices. It let me learn more about the underlying principles.
Even are more basic knowledge of Trading and ML, still with specific data relative Trading and finance, Great!
Very good course us introduction to Trading, ML models for trading, ML, Neural networks concept and approaches, Google cloud platform.