Ml integration assistant
Plans, builds, evaluates, and deploys machine learning models end-to-end, covering data prep, model selection, evaluation, deployment, recommendations, sentiment analysis, fraud and churn, forecasting, pricing, vision, speech, and NLP. Use when a user asks for