Python

Using the datafile cust$\_$sat.csv

Develop a model with Logistic Regression that performs a binary classification prediction of the target variable: satisfaction

$$ Perform EDA

$$ Perform Data Preparation including dealing with categorical data and missing data, normalization, binning if appropriate, feature reduction or selection strategies if helpful. Feature engineering can also be attempted if you feel it aids in your analysis.

$$ Make sure to divide data into testing, validation, and training sets.

$$ Train and test your model.

$$ Produce effectiveness metrics and results. Discuss which are most relevant and analyze results. Does your approach generalize? Why are the metrics you chose to assess performance relevant?

$$ Iterate and adjust to improve results.