TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. Let us use TPOT Auto ML Classification and TPOT Auto ML Regression models and build some wonderful use cases.
About this event
Are you interested in Artificial intelligence? Is your interest area Machine Learning and Data Science?
Then this session is must for you to grow your skills on how you can use TPOT Auto ML Classification and TPOT Auto ML Regression Machine Learning models with UiPath.
TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data. Once TPOT is finished searching (or you get tired of waiting), it provides you with the Python code for the best pipeline it found so you can tinker with the pipeline from there. TPOT is built on top of scikit-learn, so all the code it generates should look familiar to scikit-learn users.
We will not only look at how to use them but also, we will build BOT and talk about possible use cases of each model.
See you in session!
Don't forget to watch our first episode of the series if you have missed.