Machine Learning with Data Reduction in Excel, R, and Power BI
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3:32:57
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01.01-use data reduction for valuable insights.mp4
01:10
01.02-what you should know.mp4
00:43
01.03-introducing the course project.mp4
02:33
01.04-configuring excel solver add-in.mp4
01:51
01.05-working with r.mp4
06:27
01.06-configuring r in power bi.mp4
03:40
02.01-ai and machine learning.mp4
07:01
02.02-numerosity.mp4
07:50
02.03-dimensionality.mp4
06:03
02.04-aggregating or grouping data.mp4
10:56
02.05-histograms.mp4
06:18
02.06-binning.mp4
05:08
02.07-correlation and covariance.mp4
09:45
02.08-challenge getting the data.mp4
01:15
02.09-solution getting the data.mp4
02:23
03.01-calculating distances.mp4
07:50
03.02-hierarchical clustering.mp4
09:06
03.03-heatmaps and dendrograms.mp4
06:30
03.04-k-means clustering in one dimension.mp4
09:55
03.05-k-means clustering in two dimensions.mp4
05:37
03.06-determining k.mp4
09:08
03.07-challenge clustering.mp4
00:44
03.08-solution clustering.mp4
08:57
04.01-visualizing pca.mp4
09:40
04.02-using excel solver to find solutions.mp4
05:06
04.03-solving for principal components axes.mp4
03:48
04.04-eigenvalues.mp4
06:09
04.05-eigenvectors.mp4
09:50
04.06-pca projection space.mp4
07:29
04.07-scree plot.mp4
02:39
04.08-challenge pca.mp4
00:47
04.09-solution pca.mp4
04:55
05.01-analyzing potential model dimensions.mp4
08:37
05.02-removing or replacing null values.mp4
04:33
06.01-setting up r in power query editor.mp4
05:16
06.02-creating custom code with r standard visual.mp4
04:34
06.03-challenge power bi.mp4
00:26
06.04-solution power bi.mp4
07:05
07.01-next steps.mp4
01:13
Description
Analytics is a big part of how the world does data science. But did you know that you can use applications like Excel, R, and Power BI for high-dimensional data reduction with machine learning models and algorithms? In this course, instructor Helen Wall gives you an overview of machine learning and data reduction techniques that enable you to analyze large datasets and determine trends with a variety of different classifications.
Learn about machine learning models like clusters and anomaly detection algorithms. Find out more about distance, dimensionality, and granularity, as you explore dimensional and numerical data reduction techniques, analytic models, and visualization tools in Excel, R, and Power BI. Along the way, get tips on how to integrate your methods so you can scale them for sharing with a wider audience.
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- language english
- Training sessions 39
- duration 3:32:57
- Release Date 2023/01/31
