Automated Machine Learning with AutoGluon Library in Python

• 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.

Who this course is for:

• Data scientists, machine learning engineers, and software developers who are looking to automate their machine learning tasks