Description
In this course, you will learn:
- Learn how to use predictive analytics.
- Data should be gathered and prepared for predictive modelling.
- To avoid data quality difficulties in your models, use clean datasets.
- Using real-world data, implement linear and logistic regression models.
Syllabus:
- Introduction to Predictive Modelling
- Python and Predictive Modelling
- Variables and the Modelling Process
- Transformation and Preparation of Data
- Data Quality Problems and Other Anomalies
- Regression and Case Study