Can you predict the time duration of the lunar eclipse. ---
This challenge is picked from Dark Side of the Moon : HackerEarth Data Science Competition
Consider that you have been recruited as a research scientist at a space station. Now, it is predicted that the next lunar eclipse is going to happen soon on a particular date. The space station wants to live stream the lunar eclipse on social media and show it to all the viewers.
However, the space station has to plan its social media calendar so that the live streaming of the eclipse doesn’t clash with any other social media activity. Hence, they have asked you to predict the time duration of the lunar eclipse.
The dataset contains all the essential parameters that affect the duration of the eclipse. For this particular dataset, the training set includes details such as the date of occurrence of the eclipse, the time difference of the rays to travel during the eclipse, angle of rays during the eclipse, gamma radiation value, and magnitude of both first and second eclipses.
The benefits of practicing this problem by using Machine Learning techniques are as follows:
This challenge will encourage you to apply your Machine Learning skills to build models that can predict the duration of the eclipse
This challenge will help you enhance your knowledge of regression actively. Regression is one of the basic building blocks of Machine Learning
Your mission, should you choose to accept it, is to predict the duration of the eclipse.
Join the challenge now at Dark Side of the Moon : HackerEarth Data Science Competition