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Updated 2 years ago
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 :
- Read and understand the data .
- Clean the data
- Prepare the data for Model Building
- Model Building
- Model Evaluation
- Making Predictions on Test Set
# Supress unnecessary warnings
import warnings
warnings.filterwarnings('ignore')