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16 views1 page

Document 37

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realworld1469
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Concepts Learned from the Python Code: Water Quality

Prediction

1. Library Usage

 Pandas: For data manipulation and analysis. Used to load the


dataset and prepare data for modeling.
 Seaborn & Matplotlib: For data visualization to understand
parameter distribution and their effects on water potability.
 Scikit-learn: For machine learning tasks such as splitting the
dataset, training the Random Forest Classifier, and evaluating the
model performance.
 Warnings Module: Used to suppress unnecessary warnings for
cleaner output.

https://colab.research.google.com/drive/
1JXlMEBlqRmgDDWElm5Nn6CfBJyd1RZiC?usp=sharing

Output:

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