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Machine Learning Course - Lesson 9: KNN Classifier with Python and Scikit-learn
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In this video I'll show you how to train and evaluate a K Nearest Neighbor (KNN) Classifier using Python and the Scikit-learn library. We essentially do the same things we implemented from scratch during this course, using Python and sklearn in the way people typically do when doing Machine Learning.
⭐️HOMEWORK⭐️
I'll showcase my favorites in a future video.
⭐️LINKS⭐️
📁 Data
💻 Code
✔️ Use P8 to follow along
✔️ P9 is the code after this lesson
Python download link:
How to setup VS Code to use Python:
Scikit-learn library:
⭐️TIMESTAMPS⭐️
00:00 Introduction
00:48 Converting the data into CSV
04:27 Reading a file using Python
05:35 Separating the feature values from the labels
08:52 K Nearest Neighbor using Scikit-learn
10:39 Reading the testing data and evaluating the classifier
11:27 Homework (Python)
⭐️HOMEWORK⭐️
I'll showcase my favorites in a future video.
⭐️LINKS⭐️
📁 Data
💻 Code
✔️ Use P8 to follow along
✔️ P9 is the code after this lesson
Python download link:
How to setup VS Code to use Python:
Scikit-learn library:
⭐️TIMESTAMPS⭐️
00:00 Introduction
00:48 Converting the data into CSV
04:27 Reading a file using Python
05:35 Separating the feature values from the labels
08:52 K Nearest Neighbor using Scikit-learn
10:39 Reading the testing data and evaluating the classifier
11:27 Homework (Python)
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