Original price was: ₹ 7,500.00.₹ 6,000.00Current price is: ₹ 6,000.00.
In this project, K-Nearest Neighbors (KNN) is applied to classify handwritten digits. The KNN algorithm works by comparing a new sample to the closest known samples and assigning it to the most common category among them. This simple, non-parametric algorithm is useful for classification tasks with a small to moderate amount of data.
In this project, K-Nearest Neighbors (KNN) is applied to classify handwritten digits. The KNN algorithm works by comparing a new sample to the closest known samples and assigning it to the most common category among them. This simple, non-parametric algorithm is useful for classification tasks with a small to moderate amount of data.
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