k-MeansClustering

[hrugved06]

Define You:

• DevIncept Participant

Is your feature request related to a problem? Please describe.

Our aim here is to process the learning data, the K-means algorithm in data mining starts with a first group of randomly selected centroids, which are used as the beginning points for every cluster, and then performs iterative (repetitive) calculations to optimize the positions of the centroids.

Describe the solution you'd like...

Steps which will be following:-

1. Mounting the drive
2. Importing required Packages
3. Data Visualization
4. Preparation of the dataset (Arrangement and Cleaning)
5. Setting up the variables
6. Then Finally, Testing

Dataset to be used:- Facebook Live Sellers in Thailand Data Set

Hey @utkarshxy , Please do assign the issue :-D

Thank You!