Last Updated on March 23, 2022 by shibatau
I. What shall we learn?
I began to learn Machine Learning again and I’m rewriting my old posts related to ML. Also I’m learning the basics of ML from new tutorials. Let me introduce some ones easy to understand for beginners of ML like me. In this post we will learn the basics from the following post:
II. Types of Machine Learning
Machine learning algorithms mainly fall into the three categories.
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
III. K-Nearest Neighbour Algorithm
KNN is a supervised learning algorithm and belongs to a group of lazy learners. It stores the training data, arranges the data during the training phase, and find the closest neighbors during the inference phase.
This is not related to ML but I tried creating a scatter plot similar to the plot showed in the tutorial linked above but I couldn’t because there are some wrong data in the table. There must be typos or such kinds of simple mistakes there. So, I have created new sample data for a scatter plot similar to the one in the tutorial.
You cann see the scripts here:
To be continued.