Curriculum
- 5 Sections
- 40 Lessons
- 10 Weeks
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- Week 16
- Week 26
- Week 39
- Week 47
- Supporting material for Week 412
- 5.0Module : Predictive Modelling
- 5.1Linear Regression
- 5.2Model Assessment
- 5.3Diagnostics to Improve Linear Model Fit
- 5.4Cross Validation
- 5.5Classification
- 5.6Logistic Regression
- 5.7K – Nearest Neighbors (kNN)
- 5.8K – means Clustering
- 5.9Logistic Regression ( Continued )
- 5.10Decision Trees
- 5.11Multiple Linear Regression
Introduction to Python
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