Question: I'm looking for a platform where I can collaborate with other data scientists on machine learning projects.

If you want a platform where you can collaborate with other data scientists on machine learning projects, Deepnote is a great choice. There, teams can collaborate using Python, SQL and no-code interfaces to explore, analyze and share data. Features include AI-assisted code completion, interactive visualizations, scheduled notebooks and real-time commenting. Data encryption, role-based access controls and support for standards like HIPAA means it's a good choice for teams working with sensitive data.

Another contender is Hugging Face. This open-source platform offers a rich environment for model collaboration, dataset exploration and application development. It includes more than 400,000 models for different tasks, 150,000 applications and access to more than 100,000 public datasets. For enterprise customers, it offers more advanced features like optimized compute options and private dataset management, and offers several pricing tiers, including a free option.

Hex is another good option for collaborative data science projects. It offers AI-augmented data exploration and visualization, and a range of tools like SQL, Python and R. Hex supports sophisticated methods like data clustering and sentiment analysis and has strong security controls like SOC2 and HIPAA compliance. It offers several pricing tiers, including a free community version, so it's a good fit for teams of different sizes.

If you want a more integrated and governed environment, you should consider Domino Data Lab. This platform is geared for code-first data science teams and offers hybrid and multi-cloud deployment options. It ensures reproducibility and governance while offering immediate access to tools and compute resources, making it a good fit for life sciences and financial services. It also offers self-service access to tools and infrastructure while maintaining high security and compliance standards.