Question: I need a Python library for predictive data analysis that can handle classification, regression, and clustering tasks.

scikit-learn is a mature and widely used machine learning library with a wide range of features, including algorithms for classification, regression, clustering, dimensionality reduction and more. It's good for tasks like spam filtering, image classification and customer segmentation, and is useful for both beginners and experts.

Another contender is PI.EXCHANGE, which lets you create predictive ML models without having to write code. It offers an end-to-end ML pipeline with tools for data preparation, model creation and deployment. The platform supports classification, regression, clustering and time series forecasting, so it's good for a lot of industries and use cases.

If you want a more flexible and powerful foundation, check out PyTorch. It's good for fast experimentation, distributed training that spans many machines, and a rich collection of tools and libraries, including computer vision and natural language processing. PyTorch is good for quick prototyping and large-scale production use.