Machine Learning was pioneered in the 1950s by Arthur Samuel, who introduced work on neural networks.

Then in the 1960s Vladimir Vapnik was one of the co-inventors of support vector machines, which were overlooked until around the 1990s, when he was scooped out of Russia by Bell Labs in the US.

At this time, support vector machines were more popular and powerful than neural networks. Most recently, Google has advanced neural networks specifically through deep learning.

Scikit-learn is one of the tools we will be using.

Requirements:

• quandl

• pandas

To install, on execute on terminal:

virtualenv -p usr/bin/python3 venv

source venv/bin/activate

pip install quandl

pip install pandas

pip list

pip freeze --local > requirements.txt

Regression finds the best-fit line for 'continous' data.

View regression.py file for code.