Decision Tree Regression | Machine Learning | Python

Lasso Regression | Machine Learning | Python
GitHub JupyterNotebook: github.com/sid...
GitHub Data: github.com/sid...
About this video: In this video, you will learn how to about Decision Tree Regression in Python
Large Language Model (LLM) - LangChain
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Large Language Model (LLM) - LlamaIndex
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Machine Learning Model Deployment
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Spark with Python (PySpark)
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Data Preprocessing (scikit-learn)
Data Preprocessing Python: • Data Preprocessing Python
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[@willhallahan3986]

Very good demonstration, thank you!

[@StatsWire]

You're welcome!

[@pubgkiilerpro5244]

So is the model a generalized model? since the MSE is way too high. Or we have to optimize it better by performing Hyperparameter tuning? Please reply

[@thahoorzain1367]

Yes ur right
if MSE values are high try to optimize it using hyperparameter tuning or try different algorithms and experiment it :)

[@StatsWire]

Yes please try different hyperparameters to optimize your model.

[@thahoorzain1367]

The sklearn library doesnt accept "mse" as a valid value for the criterion parameter in the DecisionTreeRegressor instead use "squared_error" (This uses the mean squared error (MSE) as the criterion for splitting nodes )

[@StatsWire]

I have not checked newer version of sklearn library.

[@jayavaradhanjayavaradhan8445]

could you please share the dataset?

[@StatsWire]

Please find it here: github.com/siddiquiamir/Data