Question: Is there a tool that provides pre-built scripts for data ingestion, modeling, and deployment to save me time on ML projects?

If you need a tool with prebuilt scripts for data ingestion, modeling and deployment, FastML is worth a look. FastML is a Python-based machine learning boilerplate that automates the ML workflow with prebuilt scripts. It includes modules for data ingestion, preprocessing, modeling and monitoring. FastML comes in two pricing plans, and it's designed for developers and engineers who want to rapidly create and deploy machine learning pipelines.

Another contender is Dataloop, an AI development platform that includes data curation, model management, pipeline orchestration and human feedback. Dataloop can be used for exploring and analyzing vast amounts of unstructured data, automated preprocessing and deploying and managing AI models. It also has a function-as-a-service for custom functionality and can handle data types like images, videos and text.

If you prefer an open-source option, MLflow is a good option. It's an end-to-end MLOps platform that spans the entire ML project lifecycle, from experiment tracking and logging to model deployment. MLflow supports popular deep learning and traditional machine learning libraries, and it provides a single environment for managing ML workflows. It's free, and it has a wealth of learning resources, so it's a good option for improving collaboration and efficiency.

If you prefer a no-code approach, Obviously AI automates data science workflows so you can build and deploy machine learning models quickly. It can handle a variety of use cases and can integrate with tools like Zapier, Airtable and Salesforce to automate data preparation and model deployment. The platform is good for business analysts and marketing professionals who want to bring AI into their existing workflow without having to write a lot of code.