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[QSAR with python: w3-2] linear regression training on multiple datapoints
[QSAR with python: w6-4] my model vs other models
[QSAR with python: w5-6] forward selection in practice
[QSAR with python: w6-1] cross validation
[QSAR with python: w5-1] train & test data
[QSAR with python: w5-4] descriptor preprocessing
[QSAR with python: w5-3] descriptor calculator
Normality in Error Term. Q-Q Plot and Jarque-Bera Test in Python (Jupyter)
Normality in Error Term. Q-Q Plot and Jarque-Bera Test in Python (Spyder)
Investigating Quasar Data With Polars and Interactive marimo Notebooks: Reviewing & Graphing
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Last Updated: September 26, 2026
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Summary
This is the code walkthrough for This is the concepts portion of the Resource documents and PPT presentations from this event can be found here: bit.ly/MachineLearning2023 Penn State ... This video further explains how errors are calculated when multiple compounds were given to the model. It's good to compare my model's performance if there are other models predicting the identical endpoint. It clarifies the benefit of ... Here I explained the code for forward selection in practice. Model should be developed with train, validation, and test set. Training set is used to find parameters of the model, and validation ... Before going into model development, dataset should be separated into train and test data. Training data is used to update the ... Preprocessing steps: 1) descriptors were checked if there were any non-numerical values due to errors, 2) descriptors were ... Descriptors were calculated from the dataset we have been working on! This is a preview of the video course, "Investigating Quasar Data With Polars and Interactive marimo Notebooks". Learn to ...