Introduction to Big Data Analytics: Github Link
| Class No. | Topic | Youtube Video | Ppt | Notebook |
|---|---|---|---|---|
| 1 | KDD Process | class_1 | class_1 | class_1 |
| 2 | SQL | class_2 | class_2 | class_2 |
| 3 | Data Preprocessing: Imputation | class_3 | class_3 | class_3 |
| 4 | Data Transformation | class_4 | class_4 | class_4 |
| 5 | Learning Algorithms | class_5 | class_5 | class_5 |
| 6 | Frequent Pattern Mining | class_6 | class_6 | class_6 |
| 7 | Clustering and K-Means | class_7 | class_7 | class_7 |
| 8 | DBSCAN | class_8 | class_8 | class_8 |
| 9 | Classification and Naive Bayes | class_9 | class_9 | class_9 |
| 10 | Decision Trees | class_10 | class_10 | class_10 |
| 11 | Prediction and Linear Regression | class_11 | class_11 | class_11 |
| 12 | Timeseries Analysis (Auto Regression and ARIMA) | class_12 | class_12 | class_12 |
| 13 | Voting and Ensemble techniques | class_13 | class_13 | class_13 |
