It got very easy to do Machine Learning: you install an ML library like scikit-learn or xgboost, choose an estimator, feed it some training data, and get a model that can be used for predictions.

We use the scikit-learn library for various machine-learning tasks at Zyte. For example, for text classification we'd typically build a statistical model using sklearn's Pipeline, FeatureUnion, some classifier (e.g. LinearSVC) + feature extraction and preprocessing classes.

It got very easy to do Machine Learning: you install an ML library like scikit-learn or xgboost, choose an estimator, feed it some training data, and get a model that can be used for predictions.

We use the scikit-learn library for various machine-learning tasks at Zyte. For example, for text classification we'd typically build a statistical model using sklearn's Pipeline, FeatureUnion, some classifier (e.g. LinearSVC) + feature extraction and preprocessing classes.