PCA vs Mean -
If probabilistic is used against a single column , it is equivalent to mean as it will used the single column.
MICE - multiple imputation chained equations
Normal Distribution - Bell Curve
Seaborn
https://seaborn.pydata.org/generated/seaborn.FacetGrid.html
Indentation in Python
http://www.peachpit.com/articles/article.aspx?p=1312792&seqNum=3
https://social.msdn.microsoft.com/Forums/azure/en-US/596f2988-49ff-4750-a00d-b24713543276/allow-seaborn-in-python-module?forum=MachineLearning
Anaconda does not have Seaborn yet
Normalizing Data - there are 5 technieques , even log , mainly because if there are large values in the data set which do not dominate the prediction
Z SCORE
https://t4tutorials.com/z-score-normalization-data-mining/
score using std deviation
MIN MAX
https://t4tutorials.com/min-max-normalization-of-data-in-data-mining/
score between 0 and 1
If probabilistic is used against a single column , it is equivalent to mean as it will used the single column.
MICE - multiple imputation chained equations
Normal Distribution - Bell Curve
Seaborn
https://seaborn.pydata.org/generated/seaborn.FacetGrid.html
Indentation in Python
http://www.peachpit.com/articles/article.aspx?p=1312792&seqNum=3
https://social.msdn.microsoft.com/Forums/azure/en-US/596f2988-49ff-4750-a00d-b24713543276/allow-seaborn-in-python-module?forum=MachineLearning
Anaconda does not have Seaborn yet
Normalizing Data - there are 5 technieques , even log , mainly because if there are large values in the data set which do not dominate the prediction
Z SCORE
https://t4tutorials.com/z-score-normalization-data-mining/
score using std deviation
MIN MAX
https://t4tutorials.com/min-max-normalization-of-data-in-data-mining/
score between 0 and 1
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