We will share with you all kinds of material related to lectures in data mining so that you can benefit from our knowledge. And pass your exams with good marks.
In the current version of the application covers the following lectures .

 Lectures


These lectures include topics such as:

1) Mean , Median and Mode.
2) Measuring Dispersion of Data for Even Question1.
3) Measuring Dispersion of Data for Even Question2.
4) Measuring Dispersion of Data for Odd.
5) Histogram Analysis Question 1.
6) Histogram Analysis Question 2.
7) Coorelation Analysis.
8) Decision Tree Induction Question 1.
9) Decision Tree Induction Question 2.
10) Chi Square Test
11) Apriori Algorithm Question 1.
12) Apriori Algorithm Question 2.
13) Apriori Algorithm Question 3.
14) Naïve Bayes Classifier Question 1.
15) Naïve Bayes Classifier Question 2.
16) Agglomerative Cluster for Float Distance.
17) Agglomerative Cluster for Maximum Distance.
18) Agglomerative Cluster for Minimum Distance.
19) Confusion Matrices Question 1.
20) K- Mean Algorithm Question 1.
21) K- Mean Algorithm Question 2.
Birch Algorithm