➩ Part I: https://bit.ly/3rXbBnN
➩ Part II: https://bit.ly/3531Taq
What is this content about
- Using pandas data frame to manipulate datasets and matplotlib for data visualization.
- Coding functions in python for technical indicators like MACD and RSI
- Feature engineering (selecting, manipulating, and transforming data into features that can be used in our model learning)
- Create, train and test Ensemble Machine Learning Models using sklearn library (Keras Framework).
- Saving and loading ML models using pickle
- Generating training and testing reports
- Backtesting – Real-time testing using a free API – NLP
Video
Code repository (and the jupyter notebook) : https://github.com/ayoubbensakhria/finance_algo.git