Question: I'm looking for a free, open-source platform that allows me to build and deploy data science solutions without needing to be a programming expert.

If you're looking for a free, open-source platform to build and deploy data science solutions without having to be a programming whiz, KNIME is a great choice. KNIME has a wide range of data analysis and machine learning tools, including a visual workflow builder and support for more than 300 data sources. It's geared for a range of user roles and industries, with support for secure deployment and monitoring, so it's a good choice for companies and individuals.

Another contender is Obviously AI, a no-code AI platform that automates data science workflows. It's good for a variety of use cases, including classification, regression, clustering, anomaly detection and time series forecasting, but is particularly useful for predicting outcomes like churn and loan repayment. With features like one-click model deployment and automated monitoring, it takes care of the entire data science workflow, so business analysts, sales teams and marketing operations professionals can get in on the action.

For a more interactive experience, DataChat is a no-code, generative AI platform that transforms complex data into actionable insights. Its interface is like a familiar spreadsheet and chat software, so you can analyze data by typing in chat boxes and filling out spreadsheets without writing any code. The platform automates data prep and modeling, so it's good for data scientists, analysts and business users who need to make quick, confident decisions.

Last, MLflow is an open-source MLOps platform that makes it easier to develop and deploy machine learning projects. It includes experiment tracking, model management and generative AI support, and offers a single environment for managing the entire ML project lifecycle. With abundant learning resources and support for popular deep learning libraries, MLflow is a great way to boost collaboration and productivity in ML workflows.