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I am always trying to improve my skill and learn as much as I can about machine learning, which is a part of the field of artificial intelligence, or AI. I have decided to take Udacity’s Machine Learning for Trading in the hope there will be topics that I have not yet learned.
Lesson 1: Introduction
This course is broken down into three mini courses.
- Manipulating financial data in Python
- Computational investing
- Learning algorithms for trading
Lesson 2: Reading and plotting stock data
The course is going to use csv files, which are data files where the values are separated by commas. The pandas library is used to read in the csv files. Functions in the python are used to derive statistical data from the dataframe, such as max and mean.
Matplotlib is used to plot the data.
Lesson 3: Working with multiple data
This lesson discussed building a dataframe that will be used to make stock predictions.
The lesson also discussed joining dataframes to the blank dataframe.
The lesson discussed creating utility functions so repetitive tasks can be performed using the same function.
