Automate LifeCycle of Data Science Projects With PyCaret | AutoML | Automated Machine Learning
In this video, we will see how we can solve any kaggle or real-world problem using a low-code machine learning library "PyCaret" with only few lines of code. I will explore the use of PyCaret on Titanic (Classification) and HousePrice Prediction (Regression) datasets. PyCaret can be called as "artifact of the package man" as we can complete model building, improvement and fine-tuning within minutes. It enables data scientists to perform end-to-end experiments quickly and efficiently.
Code for both regression & Classification along with DataSet is uploaded to Git hub and link is given below:
https://bit.ly/2QIQxxT
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PyCaret Official Website:
https://pycaret.org/
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