findtharun
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3 answers
8 votes
3k views
How to find out if two datasets are close to each other?
1 votes

As we should not remove any data...we can use vector norm from the origin(l2 norm) given that data_a, data_b, data_c are arrays. import numpy as np import pandas as pd from numpy.linalg import ...

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1 answers
1 votes
81 views
Recommender systems and Machine Learning
1 votes

For experience: observing a set of examples encoded in a rating matrix is good, before doing that perform hybrid filtering(content-based filtering + collaborative), from its results get insights and ...

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4 answers
3 votes
852 views
How to get model attributes in scikit learn (not hyper parameters)
0 votes

When ever you fit the model (let say regression ) model.fit(x,y) To get model parameters you can try model.params_ This gives the values of b0,b1 in y=b0+b1*x

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2 answers
1 votes
199 views
AUC ROC Threshold Setting in heavy imbalance
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-->ROC curves should be used when there are roughly equal numbers of observations for each class. -->Precision-Recall curves should be used when there is a moderate to large class imbalance. enter ...

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3 answers
1 votes
2k views
Multicollinearity(Variance Inflation Factor). Variables to remove before doing a model
Accepted answer
0 votes

1) First, you need to do variable regression i.e for each column in your data set you do simple linear regression and calculate p-value... Thereby you get an idea of the significance of each column ...

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