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Why tree based algorithm are less likely to get affected by label encoding, if random forests are deep enough how it can handle categorical variables without one hot encoding?
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3 weeks 0 Answers 20 views Newbie

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How do we decide if standardization is better or scaling of data is better without using cross validation techniques ? Will it be dependent on the algorithm we are using (distance based or not) or we need to dig deeper ...
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Anonymous 3 weeks 0 Answers 19 views

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Two people A and B, train an algorithm on a same set of data. A trains by selecting 10 most important features from the dataset using an Algorithm C and randomly splits the dataset into training and testing dataset. B ...
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2 months 1 Answer 65 views Member

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Why decision trees and their ensembles have such amazing predictive power(And why is it prone to overfit to the dataset)?
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data = {'a':1 , 'b':2 , 'c':3 ,'d':4} import pandas as pd series = pd.Series(data) dummy = series.copy(deep=True) print(dummy) the above code is to make a copy of series what happens when argument deep is set to False?
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A linear model tends to have a training error of 3% and a testing error of 20% is the model under fitted or overfitted?
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2 months 1 Answer 30 views Member

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A trained logistic model represents an equation as 1/1+exp(-(c+a0x0+a1x1+a2x2) how many predictors are used to create this model?
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2 months 1 Answer 32 views Member

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uh = urllib.request.urlopen(url, context=ctx) find out which library module is necessary to import in the python code to execute the above line of code to open an url.  
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2 months 1 Answer 47 views Member

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which join is used to join a table with itself Inner join full join self join does the virtual table created occupy space for the operation to joining with itself?
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2 months 1 Answer 35 views Member

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This is the simple application of a filter to an input that results in inactivation. Repeated application of the same filter to input results in a map of activations called a feature map, indicating the locations and strength of a ...
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2 months 0 Answers 35 views Member

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What is the correct order of writing SQL query from given tags(select, where, group by, having, from, order by)
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2 months 1 Answer 35 views Member

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ORG             |    counts whitman.edu    17 vt.edu               110 utoronto.ca     1 unicon.net      9 umich.edu     491 ufp.pt             28 uct.ac.za        ...
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Confusion matrix is used to explain a model’s performance and gives the summary of predictions on the classification problems. It assists in identifying the uncertainty between classes. A confusion matrix gives the count of correct and incorrect values and also the ...
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2 months 0 Answers 30 views Member

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Bias is the difference between the average prediction of our model and the correct value. If the bias value is high, then the prediction of the model is not accurate. Variance is the number that gives the difference of prediction over a training ...
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2 months 0 Answers 27 views Member

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So basically there are 3 types of techniques: Supervised Learning: In this type of the Machine Learning technique, machines learn under the supervision of labeled data. Unsupervised Learning: Unlike supervised learning, it has unlabeled data. So, there is no supervision under which it works ...
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2 months 0 Answers 31 views Member

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TensorFlow: TensorFlow is an open-source software library released in 2015 by Google to make it easier for the developers to design, build, and train deep learning models. TensorFlow is originated as an internal library that the Google developers used to ...
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2 months 0 Answers 31 views Member

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What will be the output of following sql query SELECT     name,         last_name,         salary FROM Salary WHERE salary >    (SELECT AVG (salary)                     FROM Salary);
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2 months 1 Answer 54 views Newbie