## Data leakage

Question

Under which situation cross-validation falls in the trap of data leakage?

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Machine Learning
2 weeks
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Question

Anonymous

Under which situation cross-validation falls in the trap of data leakage?

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Machine Learning
Anonymous
2 weeks
0 Answers
16 views
Question

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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Machine Learning
3 weeks
0 Answers
20 views
Newbie
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Anonymous

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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Machine Learning
Anonymous
3 weeks
0 Answers
19 views
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Can you name a possible method of improving the accuracy of a linear regression model?

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0

Machine Learning
2 months
1 Answer
163 views
Member
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How do linear and logistic regression differ in their error minimization techniques?

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0

Machine Learning
2 months
1 Answer
116 views
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Why shouldn’t you use linear regression outputs as probabilities?

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0

Machine Learning
2 months
1 Answer
129 views
Member
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In the doc-term matrix, passed in LDA topic modeling, columns refer to?

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Interview Question
2 months
0 Answers
70 views
Newbie
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Question

Question

Why can't linear regression be used in place of logistics regression for binary classification?

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0

Machine Learning
2 months
1 Answer
72 views
Member
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Question

Question

How do you say given data is structed or unstructured
1.let us assume i have given 20k rows and 3 columns in this first column is review text and second column is rating and third column is sentiment class ..
2.In sentiment ...

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0

Machine Learning
2 months
1 Answer
47 views
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Question

What is the precession and recall explain in detail practical scenerio

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0

Machine Learning
2 months
1 Answer
49 views
Member
Question

Explain Confusion matrix in detail with practical scenerio

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0

Machine Learning
2 months
1 Answer
41 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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Interview Question
2 months
1 Answer
65 views
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A shopping mall owner has data of all its customers who visited in the year 2019 month-wise(Say in January 2019, the data would have all the names who visited the mall at least once). How can you predict how many ...

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0

Interview Question
2 months
1 Answer
63 views
Member
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Can we use R2-Sqaure to validate our model? When does the R2-score metric make sense?

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0

Statistics
2 months
1 Answer
88 views
Member
Question

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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0

Machine Learning
2 months
1 Answer
43 views
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OPTIONS :
- f(ANOVA)
-Kruskal Wallis
- both

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0

Statistics
2 months
1 Answer
62 views
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Question

Ans : Linear : is supervised learning regression algorithm.
Logistic : is also supervised learning but it is a classification algorithm.

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Machine Learning
2 months
0 Answers
30 views
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Logistic regression is used to solve classification problems. So what is the reason why it is called a regression? What is the link here?

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Machine Learning
2 months
1 Answer
40 views
Member
Question

why do have to use reshape(-1,1) or reshape(1,-1) for a single feature before fitting it to the model in sklearn library?

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0

Machine Learning
2 months
2 Answers
39 views
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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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0

Machine Learning
2 months
1 Answer
33 views
Member
Question

Can we apply logistic regression for this given data?

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0

Machine Learning
2 months
1 Answer
37 views
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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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Machine Learning
2 months
1 Answer
30 views
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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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Machine Learning
2 months
1 Answer
32 views
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re.search(‘^From:’, line)
what will the above line of code do?

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0

Interview Question
2 months
1 Answer
56 views
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How to cluster unsupervised data where all the attributes and its values are categorical?

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Machine Learning
2 months
1 Answer
47 views
Newbie
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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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0

Interview Question
2 months
1 Answer
47 views
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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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Interview Question
2 months
1 Answer
35 views
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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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Machine Learning
2 months
0 Answers
35 views
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Machine Learning | Deep learning
Machine Learning is a technique to learn from that data and then apply what has been learned to make an informed decision | The main difference between deep and machine learning is, machine learning models ...

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Machine Learning
2 months
0 Answers
33 views
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Before discussing the different statistical tests, we need to get a clear
understanding of what a null hypothesis is. A null hypothesis proposes that
has no significant difference exists in the set of a given observation.
Null: Two samples' mean is ...

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Machine Learning
2 months
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33 views
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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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Interview Question
2 months
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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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Interview Question
2 months
1 Answer
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Type I Error: Type I error (False Positive) is an error where the outcome of a test shows the non-acceptance of a true condition.
For example, a cricket match is going on and, when a batsman is not out, the umpire ...

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Machine Learning
2 months
0 Answers
31 views
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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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Machine Learning
2 months
0 Answers
30 views
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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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Machine Learning
2 months
0 Answers
27 views
Member
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In Machine Learning, there are various types of prediction problems based on supervised and unsupervised learning. These are classification, regression, clustering, and association. Here, we will discuss about classification and regression.
Classification: In classification, we try to create a Machine Learning model ...

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Machine Learning
2 months
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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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Machine Learning
2 months
0 Answers
31 views
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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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Machine Learning
2 months
0 Answers
31 views
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Here we will discuss the components involved in solving a problem using machine learning.
1. Domain knowledge
This is the first step wherein we need to understand how to extract the various features from the data and learn more about the ...

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Machine Learning
2 months
0 Answers
34 views
Member