DATASET
final.xlsx (688.65 kB)
DOCUMENT
Lab1.1_DataPreprocessing_Orange.docx (1.46 MB)
DOCUMENT
Lab2.1_LinearRegression.docx (914.44 kB)
DOCUMENT
Lab3.1 Decision Tree Classification.docx (506.52 kB)
DOCUMENT
Lab3.2_RegressionTrees.docx (563.19 kB)
DOCUMENT
Lab3.3_Ensemble Methods Regression.docx (402.03 kB)
DOCUMENT
Lab3.4 Ensemble Methods Classification.docx (233.97 kB)
DOCUMENT
Lab4.1_SVM .docx (592.8 kB)
DOCUMENT
Lab5.1_ANN.docx (526.52 kB)
DOCUMENT
Lab6.1_Clustering.docx (525.02 kB)
DATASET
Train.xlsx (274.02 kB)
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Hands-on Lab guides for PETE-4990-Data Mining focused on energy and petroleum engineering.
educational resource
posted on 2023-12-20, 23:51 authored by Kalyanaraman VenugopalKalyanaraman VenugopalThis collection contains a set of hands-on lab guides that were created in Spring 2023 to supplement the PETE4990 /PETE 2060 Data Mining courses delivered by the Energy and Petroleum Engineering department.
This effort was supported by the UW Libraries Open Textbook Grant in Fall 2022.
Hands-on labs uses open source Orange data mining technology and public oil and gas / energy related datasets.
Funding
University of Wyoming Libraries Alt-Textbook Grant
History
Publisher
University of Wyoming LibrariesDepartment
- Petroleum Engineering - PETE
