TSF_Task2_Unsupervised_ML

KMeans Clustering (Unsupervised ML)

Given dataset has 4 variables as SepalLengthCm, SepalWidthCm, PetalLengthCm & PetalWidthCm.

Taking 2 features SepalLengthCm & SepalWidthCm, clustering will be as follows:

Now taking other 2 features PetalLengthCm & PetalWidthCm, clustering will be as follows:

To visualize all the features at once, KPCA (Kernel Principal Component Analysis) method will be used

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
Elbow Plot.png		Elbow Plot.png
Iris.csv		Iris.csv
KPCA clustering .png		KPCA clustering .png
Petal_length vs Petal_width.png		Petal_length vs Petal_width.png
README.md		README.md
Sepal_length vs Sepal_width .png		Sepal_length vs Sepal_width .png
TASK 2 Solution (KMeans Clustering)-checkpoint.ipynb		TASK 2 Solution (KMeans Clustering)-checkpoint.ipynb