From the course: Supervised Learning Essential Training
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Python supervised learning packages - Python Tutorial
From the course: Supervised Learning Essential Training
Python supervised learning packages
- [Instructor] In this course, we'll use Jupyter Notebooks from the Anaconda distribution to run our code. You can open a new Notebook from your Anaconda navigator or terminal. When working with machine learning in Python, there are a few packages that make our lives easier. First thing you'll want to input for all our projects is NumPy, which helps us with basic data manipulation. pandas helps us with data processing, and Matplotlib is used to plot our data and visualize our models. For our supervised learning algorithms, we'll be leaning on scikit-learn, which allows us to create most types of models, like classification, regression, and clustering. scikit-learn also makes it easier for us to pre-process data for modeling. We're also able to employ techniques to reduce overfitting, like KFold cross-validation, and putting all of our data on the same scale. In general, this package is robust and can be relied on for most…
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