Overview of the problem statement:

1. Our topic is about analysing numerous factors which contribute to the expensiveness of those nuclear reactors. For us, this topic is important because Nuclear is an Eco-friendly source of power generation and should be widely adopted over Coal Power. I am exploring this using Statistical Analysis. We are interested in examining the best fit model which can predict the cost based on predictor variables and various interaction terms.

My Role:

1. Brainstormed over all required parameters necessary that would impact Cost(Predictor variable)
2. I perfomed webscrapping using script and designed a ETL for the data colection for every response variable
3. Once the final dataset was collected we all discussed and stastical methods possible to design a model which achieved maximum accuracy and predicts the cost variable.
4. Drafting the documentation for presentations and project report.

Presentation & Report:

Technology and tools:

R Code

Stastical analysis & modelling

Python

For Data cleaning and training model.

Webscrapping

For collection of data from website.

Process

It was the 50% part of whole process.