Learning Machine Learning - Classification

Built a ML model to predict if a lead will convert or not. The ROC (AUC) score of this model was 0.978. Used Logistic regression algorithm for this. This was the dataset. Also used pickle to pack the model and loaded it in web service using flask.(see last code block)

All the experiments and learning are embedded below as a gist.