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Title: Using k-Nearest Neighbors (kNN) in Python (Overview) (Video) – Real Python

Open Graph Title: Using k-Nearest Neighbors (kNN) in Python (Overview) – Real Python

Description: Welcome to Using k-Nearest Neighbors in Python. I’m Kimberly with Real Python, and I’ll be your instructor for this video course. I’m delighted to discuss k-nearest neighbors with you because it’s one of the most flexible and intuitive machine…

Open Graph Description: Welcome to Using k-Nearest Neighbors in Python. I’m Kimberly with Real Python, and I’ll be your instructor for this video course. I’m delighted to discuss k-nearest neighbors with you because it’s one of the most flexible and intuitive machine…

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00:00https://realpython.com/courses/knn-python/continue/#t=0.58
Welcome to Using k-Nearest Neighbors in Python.https://realpython.com/courses/knn-python/continue/#t=0.58
I’m Kimberly with Real Python, and I’ll be your instructor for this video course.https://realpython.com/courses/knn-python/continue/#t=3.6
I’m delighted to discuss k-nearest neighbors with you because it’s one of the mosthttps://realpython.com/courses/knn-python/continue/#t=8.36
flexible and intuitive machine learning algorithms.https://realpython.com/courses/knn-python/continue/#t=12.66
00:17https://realpython.com/courses/knn-python/continue/#t=17.48
In many data science problems,https://realpython.com/courses/knn-python/continue/#t=17.48
you’ll present an algorithm with a dataset of known features, like width andhttps://realpython.com/courses/knn-python/continue/#t=19.12
height. When a new observation arises,https://realpython.com/courses/knn-python/continue/#t=23.66
you’ll want to use the information you currently have to make a prediction forhttps://realpython.com/courses/knn-python/continue/#t=27.04
it. k-nearest neighbors can help you make such a prediction,https://realpython.com/courses/knn-python/continue/#t=30.9
and it does so by examining the new data points’ closest neighbors.https://realpython.com/courses/knn-python/continue/#t=34.75
00:39https://realpython.com/courses/knn-python/continue/#t=39.07
It uses known information about those neighbors to help predict an outcome.https://realpython.com/courses/knn-python/continue/#t=39.07
00:46https://realpython.com/courses/knn-python/continue/#t=46.48
But you don’t need to visualize all your data to make kNN work. Instead,https://realpython.com/courses/knn-python/continue/#t=46.48
you can code up your own k-nearest neighbors algorithm using Python.https://realpython.com/courses/knn-python/continue/#t=51.0
00:57https://realpython.com/courses/knn-python/continue/#t=57.86
Here’s what you can expect from this course. After this brief overview,https://realpython.com/courses/knn-python/continue/#t=57.86
you’ll learn what kNN is and what its main features are.https://realpython.com/courses/knn-python/continue/#t=62.5
We’ll use one primary example throughout this course, so you’ll get a sense forhttps://realpython.com/courses/knn-python/continue/#t=66.42
that dataset about sea snails before diving into a clear explanation ofhttps://realpython.com/courses/knn-python/continue/#t=71.01
how the k-nearest neighbors algorithm works. Next,https://realpython.com/courses/knn-python/continue/#t=75.89
you’ll get a chance to code up your own KNN model, first from scratchhttps://realpython.com/courses/knn-python/continue/#t=79.29
and then with the machine learning package scikit-learn. After that,https://realpython.com/courses/knn-python/continue/#t=84.39
we’ll conclude by summarizing the course and reviewing the benefits andhttps://realpython.com/courses/knn-python/continue/#t=89.02
drawbacks of kNN.https://realpython.com/courses/knn-python/continue/#t=92.85
01:34https://realpython.com/courses/knn-python/continue/#t=94.9
So, let’s get started with the distinguishing features of k-nearest neighbors.https://realpython.com/courses/knn-python/continue/#t=94.9
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https://realpython.com/videos/knn-python-features/
Using k-Nearest Neighbors (kNN) in Python (Overview) 01:41 https://realpython.com/videos/knn-python-overview/
Distinguishing Features of kNN 05:50 https://realpython.com/videos/knn-python-features/
Predicting the Age of Sea Snails 07:40 https://realpython.com/lessons/knn-python-predict/
Understanding How kNN Works 08:59 https://realpython.com/lessons/how-knn-works/
Coding kNN From Scratch: Data and Distances 05:36 https://realpython.com/lessons/knn-data-and-distances/
Coding kNN From Scratch: Neighbors and Predictions 06:10 https://realpython.com/lessons/knn-neighbors-and-predictions/
Using kNN in scikit-learn: Data, Fit, and Predict 09:16 https://realpython.com/lessons/knn-scikit-learn-data-fit-predict/
Using kNN in scikit-learn: Score and Update k 07:15 https://realpython.com/lessons/knn-scikit-learn-score-and-update-k/
Using k-Nearest Neighbors (kNN) in Python (Summary) 04:35 https://realpython.com/lessons/knn-python-summary/
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