Predictive Analytics: Applying Clustering to Soil Features & Conditions
Predictive Analytics 2022
| Intermediate
- 12 videos | 1h 24m 48s
- Includes Assessment
- Earns a Badge
The question of what crops ought to be planted per growing season for a given patch of land is extremely important. An important related question is which type of crop fits most easily with the soil and climatic conditions. Machine learning (ML) models like clustering can help answer this question using data from other farms. In this course, work with soil data consisting of field climate conditions. Next, learn how to use charts to view univariate information and the relationships between attributes. Finally, discover how to perform k-means and agglomerative clustering on data. Upon completion, you'll be able to apply clustering to data, identify links between clusters identified by ML algorithms and the crops cultivated in them, and differentiate k-means and agglomerative clustering.
WHAT YOU WILL LEARN
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discover the key concepts covered in this courseexplore data in a data frame about crops and the climates in which they are grownvisualize data about a crop's climatic conditionsview relationships between climatic conditionstransform crop data for clusteringset up clustering for climatic data
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optimize the clustering of climatic dataperform k-means clustering on climatic dataset up a climatic condition clustering modelfine-tune the clustering of climatic datacluster crop data using agglomerative clusteringsummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview1m 37sUP NEXT
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2.Exploring Data in a Data Frame7m 18s
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3.Visualizing Data about Conditions8m 28s
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4.Viewing Relationships between Conditions7m 32s
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5.Transforming Data for Clustering7m 45s
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6.Setting Up Clustering for Data6m 46s
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7.Optimizing Data Clustering9m 15s
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8.Performing K-means Clustering on Data10m 34s
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9.Setting Up a Condition Clustering Model7m 9s
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10.Fine-tuning the Clustering of Data6m 54s
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11.Clustering Data Using Agglomerative Clustering9m 5s
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12.Course Summary2m 27s
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