Hi,
I am new to machine learning and trying to process data with mltk. I am trying to further automate the process in the following ways:
- Preprossessing. Do I need to preprosses my data? how? Do I need to remove outliers?
- Params to predict with. How do I choose which parameters to predict with?
- Algorithm parameters configuration. what values should I put as the parameters to the algorithms?
- Results benchmark. how can I compare all algorithms and use the best one? what is a good "score"?
In a dream world, it would be cool to have a place to upload the CSV and mltk would tell me which algorithm to use and which parameters to set by running a multi brute force of all algorithms and parameter permutations etc.
Is there any advice or feature that would get me closer to this purpose?
