Class No. | Topic |
---|---|
1 | KDD process |
2 | SQL |
3 | Data Preprocessing: Imputation |
4 | Data Transformation |
5 | Learning Algorithms |
6 | Frequent Pattern Mining |
7 | Clustering and K-Means |
8 | DBSCAN |
9 | Classification and Naive Bayes |
10 | Decision Trees |
11 | Prediction and Linear Regression |
12 | Timeseries Analysis (Auto Regression and ARIMA) |
13 | Voting and Ensemble techniques |
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