Python tutorial | KNN classifier | Converting CSV data to Numpy array – Part 3




[ad_1]

In part 3 of this k-nearest-neighbor (K-NN/KNN) machine learning series, we introduce the sklearn library which allows us to split our data into training data and test data. We then proceed to build some intuition about what we’re actually doing.

In this video, we convert our CSV (comma-separated values) dataset into a numpy array so we can implement a KNN machine learning classifier more easily.

By the end of this tutorial series, you’ll be able to implement the KNN machine learning algorithm in Python.

For more machine learning and computer vision related videos check out the website below:

 Website:
https://computer-vision.io/
Discord:
https://discordapp.com/invite/aKeFUpF
Reddit:
https://www.reddit.com/r/computer_vision/
Twitter:
https://twitter.com/MonkhouseTom

Source


[ad_2]

One Comment

  • MonkHaus
    December 18, 2020

    thank you for the video

Write a comment