Data Mining Explained | Data Engineering | Community Webinar
Data mining is the process of digging through different data types and data sets to discover hidden connections between them. In today's world, it has become...
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Data mining is the process of digging through different data types and data sets to discover hidden connections between them. In today's world, it has become a fundamental part of data analytics and data science. The information it generates can be used in business intelligence and advanced analytics for planning business strategies and managing operations.
The concept of data mining consists of several steps, and in this crash course, we will demonstrate how data mining is used in feature selection, connecting different data attributes, data aggregation, data exploration, and data transformation. Apart from transformational attributes, we will also cover the importance of checking data quality, reducing data noise, and visualizing the data to demonstrate the importance of good data.
Table of Contents:
00:00:00 β Introduction
00:01:30 β Data and Data Types
00:23:52 β Data Quality
00:33:40 β Data Preprocessing
01:00:49 β Similarity and Dissimilarity
01:11:49 β Data Exploration & Visualization
You can find the complete list of videos here: https://www.youtube.com/playlist?list=PL8eNk_zTBST9SJS5gUw_HYGSk5MdyC89-
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01:26:59
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Published
Jul 28, 2022
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hd
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#Data mining #data analytics #data science #data attributes #data aggregation #data exploration #feature selection #data transformation #transformational attributes #data noise #data quality #data visualization #Data Types #Data Quality #Data Preprocessing #similarity #dissimilarity
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