Thanks Tim. Interesting suggestion. Would you be suggesting appending the dataframes generated in the for loop to something like a pickle file?
Would there be any memory issues holding that file open while all las files are being read and appended?
Thanks Tim. Interesting suggestion. Would you be suggesting appending the dataframes generated in the for loop to something like a pickle file?
Would there be any memory issues holding that file open while all las files are being read and appended?
Well Log Data Outlier Detection With Machine Learning and Python Identification of outliers is an essential step in the machine learning workflow Photo by Will Myers on Unsplash Outliers are anomalous points within a dataset. They are points that don’t fit within the normal or expected statistical distribution of the dataset and can occur for a variety of…
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Thanks for the comment Elena. I am glad you have found this article helpful. Working with Python and geoscience data is great and there is so much potential that ML and Python can bring to it. Looking forward to seeing articles from you on the subject. 🙂