Data Mining & Business Intelligence - Data Mining & Business Intelligence | Tutorial #10 | Data Cleaning Process

Master the Art of Data Mining and Business Intelligence: Unlock Insights, Drive Decisions, and Transform Data into Actionable Knowledge with RANJI RAJ's Comprehensive Tutorials!

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16 learners

What you'll learn

Understand the KDD process and its role in data mining.
Apply data integration and transformation techniques for data preparation.
Implement various data reduction strategies to optimize data handling.
Explore diverse classification and clustering algorithms for effective data analysis.

This course includes

5 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

Data Mining Business Intelligence Data Cleaning data cleansing missing values smoothing by bin means smoothing by bin boundaries clustering smoothing by bin means example in data mining binning algorithm

Full Transcript

Data cleaning, also called data cleansing, is the process of ensuring that your data is correct, consistent and useable by identifying any errors or corruptions in the data, correcting or deleting them, or manually processing them as needed to prevent the error from happening again. #DataMining #DataCleaning Follow me on Instagram 👉 https://www.instagram.com/ngnieredteacher/ Visit my Profile 👉 https://www.linkedin.com/in/reng99/ Support my work on Patreon 👉 https://www.patreon.com/ranjiraj

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