Data Mining Evaluation of model & Confusion matrix

Course Lessons

1. 1- Data Mining Introduction to the course
2. 2- Data Mining What is data mining? KDD?
3. 3- Data Mining Main functions in data mining
4. 4- Data Mining Getting to know your data
5. 5- Data Mining Boxplot, scatter plot and dictance
6. 6- Data Mining Data preprocessing & Binning and smoothing
7. 7- Data Mining Chi-square & Data normalization and descretization
8. 8- Data Mining Association and correlation rules & Support and confidence
9. 9- Data Mining Apriori algorithm & Maximal and closed itemsets
10. 10- Data Mining FB tree algorithm & New measure
11. 11- Data Mining Classification , Training and testing datasets & Desicion tree algorithm
12. 12- Data Mining Bayesian, Rule-Based and Lazy algorithm's
13. 13- Data Mining Evaluation of model & Confusion matrix
14. 14- Data Mining End of the course