Need real time consultation about Machine Learning in R via Skype and Teamviewer

I need real time consultation about Machine Learning in R via Skype and Teamviewer. This is for right away, so I'm not looking for a student trying to look for tutorials about how to do things. Instead, I'm looking for an R / Machine Learning expert that knows exactly what he/she does.


Of course we always can look for things on Google. We are going to be working together, exchanging code via a Git repository (so, it is important Git knowledge as well). Almost side by side.


In other words: What I need is an online/live consultant/teacher to stablish a Skype call with and at the same time share his screen with me and guide me through the process of attack this machine learning problem in R.

The task to do is: Predict a target variable on a dataset with: 100'000 observations and 14 variables.

Please, share your expertise/portfolio with me and I will provide you more details by chat.

These are some of the subtasks to do:

- Exploratory data analysis. Summaries / Diagrams / Graphs are welcome.
- Unsupervised analysis of the provided data to describe the data we have.
- PCA Analysis.
- Figure out if there are some correlation between variables. Probably some of them are correlated and we can get rid or transform some of them.
- Identify the kind of problem we are facing. What kind of regression problem is it?
- Normalize, Standarize and/or Scale the data properly. This is for both: Training and Testing data subsets.
This will be done for future inputs as well.
- Select a good supervised technique to create a model and train it. Most likely to use Neural Networks.
- Use the type of NN that better fits to this regression problem.
- Predict the target variable: "Score" by using a test set.
- Do the required analysis for the obtained results.
- Summaries / Diagrams / Graphs are welcome.