Automated Machine Learning with AutoGluon Library in Python - Discover how to easily automate entire machine learning pipelines with the extremely powerful Autogluon library from AWS
AutoGluon is an open-source AutoML library that allows you to train and deploy high-accuracy machine learning and deep learning models on image, text, time series, and tabular data with just a few lines of code1. It automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications2.
You can learn how to install and set up the Autogluon Python library in your local or cloud-based environment by taking this course on Udemy1.
Mathematical Foundations of Machine Learning
What you'll learn
- Understand the basics of the Autogluon Python library and its capabilities for automating machine learning tasks.
- Learn how to install and set up the Autogluon Python library in your local environment.
- Develop skills in data preparation and cleaning processes that are critical for successful machine learning outcomes using Autogluon.
- Discover best practices for selecting and configuring machine learning models to achieve optimal results with minimal effort.
- Explore how to use Autogluon to create high-accuracy models for image classification tasks, including object detection, segmentation, and classification.
- Understand how to use Autogluon to perform natural language processing (NLP) tasks such as sentiment analysis.
- Learn how to train and deploy time series models using Autogluon to make accurate predictions for future events or trends.
- Gain hands-on experience in using Autogluon to analyze tabular data and build predictive models for business applications and financial forecasting.
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