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In this project, we aim to explore the famous Iris dataset, a classic example in machine learning, by visualizing its features and then applying Principal Component Analysis (PCA) to reduce dimensionality and gain insights.
Data-graph
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- machine-learning (7)
- deep-learning (3)
- regression (3)
- autoencoder (2)
- keras (2)
- tensorflow (2)
data-graph (2)
- -k-nearest-neighbors (2)
- classification (2)
- data-analysis (1)
- data-graphs (1)
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- linear-regression (1)
- logistic-regression (1)
- polynomial-regression (1)
- pytorch (1)
- pretrained (1)
- neural-networks (1)
- -pca (1)
- evaluation-metrics (1)
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This project involves the implementation of a K-Nearest Neighbors (KNN) classifier using the famous Iris dataset.