Join Ron Davis for an in-depth discussion in this video The Data Modeling group, part of Learning Excel Data-Mining.
- Okay, let's look at the data modeling tab…over in here, and what this is going to do…is take a structure, in this case our table,…and apply a data model to it.…So if we click classify and the wizard…and we go through.…We don't want a range.…We're going to take the table, the entire table…that we have exposed here in Excel.…We go next.…Now you'll see the way this works.…First let's change this over to our friend…Bike Buyer, which is really what we want to analyze.…
Now if I go to parameters, you see…the algorithm up here.…If you'll notice, in classification there's…four algorithms we use, Decision Tree,…Logistic Regression, Naive Baize,…Norel Network, and we pick which one we want…to use, and we'll use the Decision Tree.…We'll say OK.…Now when we go next, this is a percent…of data it wants to use to test…versus the percentage it's going…to use as an input.…So 30% is the standard.…We'll go with that.…Down here is the description, Classify Bike Buyer…is what we're going to name the model,…and here's the structure.…
- 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 Intermediate
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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