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K-Nearest Neighbors Algorithm From Scratch In Python

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Here is a python implementation of KNN, make sure to leave your questions down below!
Timestamps
[00:00:00] – Introduce Tutorial & KNN Overview
[00:00:37] – Explain KNN Concept & Majority Voting
[00:03:18] – Setup Environment & Import Libraries
[00:06:46] – Load & Clean Dataset, Define Features/Target
[00:10:59] – Visualize Salary Distribution by Purchase
[00:12:58] – Implement Euclidean Distance Function
[00:15:43] – Build KNN Algorithm From Scratch
[00:22:02] – Split Data & Explain Train-Test Split
[00:25:01] – Tune K Value & Plot Accuracy Curve
[00:28:14] – Compare KNN Predictions with Actual Data
Consider...
i would love to hear any suggestions you have, leave them down in the comments!! (video ideas, editing tips, anything!!)
Timestamps
[00:00:00] – Introduce Tutorial & KNN Overview
[00:00:37] – Explain KNN Concept & Majority Voting
[00:03:18] – Setup Environment & Import Libraries
[00:06:46] – Load & Clean Dataset, Define Features/Target
[00:10:59] – Visualize Salary Distribution by Purchase
[00:12:58] – Implement Euclidean Distance Function
[00:15:43] – Build KNN Algorithm From Scratch
[00:22:02] – Split Data & Explain Train-Test Split
[00:25:01] – Tune K Value & Plot Accuracy Curve
[00:28:14] – Compare KNN Predictions with Actual Data
Consider...
i would love to hear any suggestions you have, leave them down in the comments!! (video ideas, editing tips, anything!!)
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