From the course: Complete Guide to Generative AI for Data Analysis and Data Science

Unlock the full course today

Join today to access over 24,600 courses taught by industry experts.

Machine learning libraries

Machine learning libraries

From the course: Complete Guide to Generative AI for Data Analysis and Data Science

Start my 1-month free trial Buy for my team

Machine learning libraries

“

- [Instructor] Okay, we have a variety of machine learning libraries and frameworks available to us. If we're working in Python, we have quite a few libraries that we can take advantage of. Now, we've talked about NumPy and SciPy as being statistics libraries, and they are, but they're more general than that. They're also support machine learning as well, so they're really general purpose libraries. scikit-learn is a library that's more focused on machine learning, and in fact, it has functionality that's really designed for helping you work through the whole life cycle of building a machine learning model, from collecting data, loading data, transforming it, building models, and analyzing the quality of our models. Keras is a specialized machine learning library that is useful for building machine learning models based on neural networks. And if you're building very large deep learning networks, then you probably want to take a look at TensorFlow and PyTorch. These are two widely…

Contents