Predicting-Materials-using-ML

To predict materials from a list of available materials which can be used for the production of solar cells based on their band gap energy and other properties. The project is well documented with in-depth explaination of each block of code in the jupyter notebook.

This project is hosted in Google Colab

Here is the link to the IPython jupyter notebook :

https://colab.research.google.com/drive/1qcxdsGKozwHq2V0PPuBlq2rpbQzuEAR4?usp=sharing