EvalML is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions, it is a library for automated machine learning (AutoML) and model understanding, written in Python
EvalML: a library for automated machine learning and model understanding Leer más »
An extensive list of fundamental machine learning models and algorithms from scratch in vanilla Python.
«H2O has been the driver for building models at scale. We are talking about billions of claims. You can’t do this with standard off the shelf open source techniques». (H2o.ai).
AutoML: a introduction tutorial about H2O Driverless AI Leer más »
A great selection of resources on learning deeplearning by Lex Fridman from the Massachusetts Institute of Technology (MIT).
Resources on learning deeplearning from the Massachusetts Institute of Technology Leer más »