From the course: Hands-On Generative AI: Getting Started with Vector Search
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Machine learning libraries in Python
From the course: Hands-On Generative AI: Getting Started with Vector Search
Machine learning libraries in Python
- [Instructor] Now that we've looked at an example of machine learning, let's explore some of the machine learning libraries available for you to use when building applications using AI and machine learning. These libraries use Python because that's the language most data scientists prefer for working with data. The three main Python data science libraries are NumPy, pandas, and sk-learn. NumPy offers powerful tools for working with arrays and matrices, which are essential for numerical computations. NumPy gives structure to your numerical data. Pandas provides easy-to-use data structures, like data frames, which are like tables in a spreadsheet. Sk-learn provides a variety of tools and algorithms for machine learning tasks such as classification, regression, clustering, and dimensionality reduction. NumPy has a sizable number of features for working with data structures. Developers can create, index, and manipulate arrays, along with providing other linear algebra operations. NumPy…
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