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Lead Scoring Case Study

Goals of the Case Study :
    * To build a logistic regression model to assign a lead score between 0 and 100 to each of the leads which can be 
      used by the company to target potential leads.
    * To adjust to if the company's requirement changes in the future so you will need to handle these as well.
The steps are broadly :
  1. Read and understand the data .
  2. Clean the data
  3. Prepare the data for Model Building
  4. Model Building
  5. Model Evaluation
  6. Making Predictions on Test Set
 
# Supress unnecessary warnings

import warnings
warnings.filterwarnings('ignore')