MLSolver is an open source AutoML framework. In the future, the idea is to be able to handle tabular data problems (normal, time series), computer vision problems and NLP problems.
* Fill nan strategies
* Feature selection strategies
* ...
* Create feature combinations with operators +-*/
* Create bins using quantiles
* Create cluster features
* Single column regression
* Multiple column regression
* Binary classification
* Multiclass classification
* Multilabel classification
* Neural Networks
* Catboost
* Sklearn Gradient Boosting algorithms
* Bagging
* Blending
* Stacking
* Create demos for end-to-end testing
* Test functions