GitHub repository: pradeepdewangan/TSF-Internship-Task
Primary language: Jupyter Notebook
Created: 2021-09-19T20:23:39Z
Description: TSF-Internship-Task This is one of the tasks given to us in the internship we are doing with The Sparks Foundation i.e GRIP(Graduate Rotational Internship Program )  Task 1 - To Explore Supervised Machine Learning In this regression task, we will predict the percentage of marks that a student is expected to score based upon the number of hours they studied. This is a simple linear regression task as it involves just two variables. What will be predicted score if a student study for 9.25 hrs in a day?  Task 1 dataset- http://bit.ly/w-data  Task 2 - To Explore Unsupervised Machine Learning From the given ‘Iris’ dataset,we will predict the optimum number of clusters and represent it visually.  Task 2 dataset- https://drive.google.com/file/d/11Iq7YvbWZbt8VXjfm06brx66b10YiwK-/view?usp=sharing