Developing data science solutions in Microsoft Fabric uses a number of components to create machine learning models and easily incorporate data from OneLake into dataframes. This session will also review some time saving tools added to Fabric including Data Wrangler and the Fabric Runtime. We will take a look at how you can incorporate these tools with notebooks to create a machine learning model and implement it in Microsoft Fabric data pipelines. In this session we will walk through the data process starting with data exploration, developing a dataset, experimenting and evaluating algorithms, modeling and implementing the solution.