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Python Code google colab

Q1.  Build a regression model using python on colab for the data provided in Q1_Regression.csv. Evaluate the models performance using appropriate metrics.

Details about the data is available at https://archive.ics.uci.edu/ml/datasets/QSAR+fish+toxicity

(Hint: The first 6 columns represent the attributes and the values to be predicted are in the 7th column).

 

Q2. Build a classification modelusing python on colab for the data provided in Q2_Classification.csv. Evaluate the model performance using appropriate metrics

Details about the data is available athttps://archive.ics.uci.edu/ml/datasets/Mammographic+Mass

(Hint: The first 5 columns represent the attributes and the values in the 6th column is class to be predicted. Also, note that there are missing values in the dataset)

Last Updated on October 12, 2019

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