Model Training

Understand how machine learning models can be trained from within Flyte, with an added advantage of orchestration benefits.

Diabetes Classification	Train an XGBoost model on the Pima Indians Diabetes Dataset.
House Price Regression	Use dynamic workflows to train a multiregion house price prediction model using XGBoost.
MNIST Classification	Train a neural network on MNIST with PyTorch and W&B
NLP Processing with Gensim	Word embedding and topic modelling on lee background corpus with Gensim
Forecast Sales Using Rossmann Store Sales	Forecast sales data with data-parallel distributed training using Horovod on Spark.