Data Mining & Business Intelligence - Data Mining & Business Intelligence | Tutorial #17 | Data Reduction - Dimensionality Reduction

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 DMBI Data Prepreocessing Dimensionality Reduction Principal Compoenents Analysis PCA Wavelet Transform DWT DFT Signal Processing dimensionality reduction example dimensionality reduction pca

Full Transcript

Dimensionality reduction is the process of reducing the number of random variables under consideration, by obtaining a set of principal variables. It can be divided into feature selection and feature extraction. #DataMining #DimensionalityReduction 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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