/grip-datascience-task2

Repository for the second task of the Data Science & Business Analytics track of GRIP - The Sparks Foundation

Primary LanguageJupyter Notebook

GRIP Data Science Internship Task 2

A repository for the second task of the Data Science & Business Analytics track of GRIP - The Sparks Foundation

Task: Prediction Using Unsupervised ML

  • Predict the optimum number of clusters from the given 'Iris' dataset of the scikit-learn library
  • Represent the clusters visually

Solution Steps (Images Below)

  1. Import the required libraries
  2. Read the dataset and Display some information about it
  3. Find the optimum number of clusters using the elbow method
  4. Plot the results to determine the 'elbow'
  5. Apply kmeans to the data
  6. Plot the clusters and their centroids

Info About The Data  The Elbow Method  Clusters 

YouTube Video: Amr Wael GRIP DataScience Task 2 Prediction Using Unsupervised ML

Further Reading About GRIP & TSF

TSF - The Sparks Foundation - is a non-profit organization registered in India & Singapore and operates globally.

GRIP - Graduate Rational Internship Program - is a unique offer for graduates & recent students to experience & join TSF. This is an unpaid one-month internship.