MACHINE LEARNING FROM SCRATCH PYTHON- TABLE OF CONTENT
Welcome to AI HUB’s new series on “Machine Learning from Scratch”. Here we will include a full Table of contents of Machine Learning from the Scratch tutorial series. Here we will cover all the courses based on Python. If you are new to Python, you can enroll in our free Python course from here.
Python is widely considered as the preferred language for Artificial Intelligence. Python helps developers be productive and confident about the software they’re building from development to deployment and maintenance. ENROLL NOW !!
Artificial intelligence can be interpreted as adding human intelligence in a machine. The beginning of modern AI started when the term “Artificial Intelligence” was coined in 1956, at a conference at Dartmouth College, in Hanover. The field has come a very long way in the past decade. The 10s were the hottest AI summer with tech giants like Google, Facebook, Microsoft repeatedly touting AI’s abilities.
Here are the direct link of the Machine Learning Algorithm from Scratch. All the best wishes !!
In this tutorial, we will work on Stock Prediction using random forest. Here, we will be using the dataset (available below) which contains seven columns namely date, open, high, low, close, volume, and name of the company.