Automating Machine Learning Pipelines

Creating a Machine Learning model is a difficult task because we need to write a lot of code to try different models and find out the performing model for that particular problem. There are different libraries that can automate this process to find out the best performing Machine Learning model but they also require some coding. What if I tell you that we can run multiple AutoML algorithms to find out the best model architecture for classification problems in a single code cell? Model search helps in implementing AutoML for classification problems. It runs multiple ML algorithms and compares them with each other.