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Opening Credits
1/30/2025
1 Introduction to data preprocessing
1/30/2025
2 Data collection and cleaning
1/30/2025
3 Data transformation and encoding
1/30/2025
4 Dealing with noisy data
1/30/2025
5 Data integration and aggregation
1/30/2025
6 Handling text and unstructured data
1/30/2025
7 Time series data preprocessing
1/30/2025
8 Quality assurance and validation
1/30/2025
9 Best practices and tools for data preprocessing
1/30/2025
10 Case studies and real world applications
1/30/2025
11 Future trends in data preprocessing
1/30/2025
12 Conclusion
1/30/2025
Ending Credits
1/30/2025