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In this course, you will :
- Learn about the predictive analytics process.
- Collect and organise data for predictive modelling.
- Clean datasets are necessary to avoid data quality issues in your models.
- 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
