Skip to content

Graduate Rotational Internship Program by The Sparks Foundation. During this Internship, I have worked on projects related to Prediction using Supervised and Unsupervised Machine Learning.

License

Notifications You must be signed in to change notification settings

danieljosephraj/TSF-Internship

Repository files navigation

TSF-Internship

Graduate Rotational Internship Program by The Sparks Foundation

As a Data Science and Business Analytics Intern at the Sparks Foundation, I have completed the following tasks using Python Programming Language in Jupyter Notebook and stored them here.

Task 1: Prediction using Supervised Machine Learning Predict the percentage of a student based on the number of hours they study per day using Simple Linear Regression technique on the student marks dataset. Also predict the score if a student studies for 9.25 hrs./ day?

Task 2: Prediction using Unsupervised Machine Learning From the given "Iris" dataset, predict the optimum number of clusters (i.e., K) and represent it visually.

About

Graduate Rotational Internship Program by The Sparks Foundation. During this Internship, I have worked on projects related to Prediction using Supervised and Unsupervised Machine Learning.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published