GitHub - harsh-mh/Machine-Learning-Technique-Water-Potability: Our first step was formulating insightful questions to drive our analysis. Conducting EDA, modeling techniques: Logistic regression, random forest, and neural network.

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Our first step was formulating insightful questions to drive our analysis. Conducting EDA, modeling techniques: Logistic regression, random forest, and neural network.

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Water Potability.pdf		Water Potability.pdf
water_potability_Final_Results.csv		water_potability_Final_Results.csv

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Our first step was formulating insightful questions to drive our analysis. Conducting EDA, modeling techniques: Logistic regression, random forest, and neural network.