(Team 40 - PySquad) Solar Radiation Prediction Analysis

Distribution plot of dataset features.
Mean barplot of some features with respect to time and month.
Comparison of different models based on Mean Absolute Error and Root Mean Squared Error.

Inspiration

Just imagine that you've got solar energy batteries and you want to know will it be reasonable to use them in the future? Yeah, this question got into our mind and we decided to do use Machine Learning technology and do some data analysis and build predictive models of the same.

What it does

With the help of Machine Learning, it can predict future solar radiation.

How we built it

We build this with the help of the newest technologies like IBM Z, Machine Learning, Python, and some Data Analysis library like pandas, matplotllib and seaborn.

Accomplishments that we're proud of

We have gained some useful insights with help of this dataset and data analysis that will be very useful in the future and we build a Machine Learning model with the Mean absolute Error of 29.37.