An application for beginners of Machine Learning for understanding Machine Learning basic concepts.
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Updated
Dec 8, 2022 - Python
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iris-flower-data
Here are 4 public repositories matching this topic...
Cluster analysis - using different approaches
python
r
kmeans
iris
cluster-analysis
iris-data
iris-dataset
clustering-methods
clustering-application
kmeans-clustering-algorithm
dendextend
iris-flower-data
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Jan 1, 2018 - R
This project uses the K-Nearest Neighbors (KNN) algorithm to classify Iris flowers based on their sepal and petal measurements. The dataset used in this project is the Iris Dataset, which includes 150 samples of Iris flowers, each with four features: sepal length, sepal width, petal length, and petal width.
knn
k-nearest-neighbours
iris-flowers
iris-dataset
knn-classification
iris-flower-classification
k-nearest-neighbor
knn-model
k-nearest-neighbors
iris-classification
knn-classifier
iris-flower
iris-flower-data
knn-algorithm
iris-flower-dataset
iris-flower-category
k-nearest-neighbor-classifier
k-nearest-neighbors-algorithm
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Updated
May 7, 2023 - Jupyter Notebook
머신러닝공부 & Big Data
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Updated
Apr 16, 2018 - Jupyter Notebook
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