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
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