This is a draft for what dataset I will be used for my final project. You just follow the instructions and choose between these links on the instructions to find a good and useful dataset for a multiple linear regression analysis where I can find  collinearity or multicollinearity and perform ANOVA function to compare linear regression.

1. Have you used or built Neural Networks for any project or actual work? Can you give an example and elaborate concretely on the complexity you found?

2. For Neural Network modeling. Would you use tools (i.e BigML, Datarobot, Azure) or frameworks (i.e Tensorflow, Pytorch) as your preferred choice vs open source languages such as Python or R? explain why or why not