Join Ron Davis for an in-depth discussion in this video The Microsoft algorithms, part of Learning Excel Data-Mining.
- The Microsoft Algorithms.…The Microsoft Decision Tree Algorithm.…This algorithm is probably the most popular…data-mining technique because of fast training performance,…a high degree of accuracy and easily…understandable patterns.…The most common data-mining task…for decision tree is classification,…that is, determining whether or not…a set of data belongs to a specific type or class.…For example, lone applicants can be classified…as high or low risk, and decision trees…help to determine the rules to perform…that classification, based on historical data.…
The Linear Regression Algorithm.…The Microsoft linear regression algorithm…is a variation of the decision tree algorithm.…And it helps us to calculate a linear regression…between the dependent and an independent variable.…And then use that relationship for a prediction.…Microsoft Clustering Algorithm.…The clustering algorithm finds natural groupings…inside your data, when these groupings are not obvious.…In other words, it finds the hidden variable,…that accurately classifies your data.…
- Recognize the factors involved in building an environment.
- Define models, induction, and prediction.
- Determine key concepts in Excel data-mining.
- Analyze key influencers.
- Break down how to utilize the detect categories tool.
- Recognize where and when to use the Shopping Basket Analysis.
Skill Level Intermediate
Querying Microsoft SQL Server 2012with Gerry O'Brien5h 34m Beginner
Cleaning Up Your Excel 2013 Datawith Dennis Taylor1h 59m Appropriate for all
Learning Microsoft Business Intelligence Stackwith Ron Davis43m 35s Intermediate
1. Data-Mining Concepts
2. The Microsoft Data-Mining Algorithms
The Microsoft algorithms3m 32s
3. Data Mining between Excel and SQL Server Analysis Services
Understanding mining models2m 33s
4. Using the Data-Mining Add-ins in Excel
Next steps2m 32s
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