Machine Learning
Access your entire ML pipeline from your Notebook!
January, 2022
“Tired of having to spend hours ML production, in front of laptops, typing code? Looking for a way to get the most out of your next machine learning experiment? Are you interested in practicing your ML tips on the go?”
About PyCaret 2.3.6
create_docker ('my_first_api')PyCaret is a machine learning library with the goal of addressing machine learning workflows by making them faster and more efficient. PyCaret accomplishes this through a set of tools that can replace hundreds of lines of code with a few lines.
PyCaret is a machine learning library with the goal of addressing machine learning workflows by making them faster and more efficient. PyCaret accomplishes this through a set of tools that can replace hundreds of lines of code with a few lines, including application designers and developers. PyCaret is designed for citizen data scientists who are power users who can perform both simple and moderately sophisticated analytical tasks that would previously have required more technical expertise.
PyCaret is designed as a Python wrapper around several machine learning libraries, such as XGBoost, scikit-learn, LightGBM, Optuna, CatBoost, spaCy, and Hyperopt Ray. PyCaret is a set of Python classes that abstracts and implements the different machine learning libraries. It provides a simple interface to the underlying code, enabling developers to focus on what they need to do rather than on the details of implementing machine learning models. PyCaret has become popular with data scientists, scientists, and engineers. PyCaret is also used by several organizations in different sectors, such as finance, retail, healthcare, and pharmaceuticals.
PyCaret is a revolutionary new tool that will allow you to create a web API and entire ML pipeline- docker image from the comfort of your Notebook. PyCaret 2.3.6 is coming soon! PyCaret has been democratizing ML for the past few years and it’s only going to get better. The demo video can be seen below:
PyCaret seems to find a very linear and rapid path toward the ML production stage. We are excited about this release.
Please follow Moez Ali author of PyCaret ML library for the latest developments. PyCaret will help you create an awesome ML pipeline. PyCaret 2.3.6 will be released soon! January, 2022
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