Lead scoring is a valuable tool while implementing a marketing strategy and in this article, you will understand how you can do it using Machine learning. In this repo I'm covering following topics-->
- What is lead scoring and why it’s important
- Types of lead scoring
- Understanding Data
- Exploratory Data Analysis & Observations
- One Hot Encoding
- Feature Selection — RFE
- Variance Inflation Factor
- SMOTE — oversampling
- Model Implementation — Logistic Regression, Hyperparameter Tuning
- Model Evaluation