PySpark Tutorial 33: PySpark Logistic Regression | PySpark with Python

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PySpark Tutorial 33: PySpark Logistic Regression | PySpark with Python

About this video: In this video, you will learn how to about logistic regression in pyspark

Large Language Model (LLM) - LangChain

Large Language Model (LLM) - LlamaIndex

Machine Learning Model Deployment

Spark with Python (PySpark)

Data Preprocessing (scikit-learn)

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Комментарии
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Nice video. A couple of comments. You should do the stringindexer after the train, test split to prevent data leakage. Fit on the train set and transform on the test set
Also it would be nice to see scaling of the numeric features as this is standard practice in machine learning. For some reason I have failed to see any pyspark tutorials do both encoding and scaling at the same time. This would be a nice way to distinguish from all of the other tutorials

SoyeBoy
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Saved me a lot of time, thank you very much for also providing the ipynb.

crono
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How to find confusion matrix values in logistics regression?

sakshigaikwad
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hi, can u share the link u got the csv? thank you

choirunnisa
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Can you upload the notebook file? and file csv ?

salah_el_dinmohamed