Python Code google colab

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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)

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