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SUPER DUPER QUIZ
SUPER DUPER QUIZ
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Questions
27
Answers
1
Which of these IS NOT machine learning algorithm?
All of them are ML algorithms
Random Forest
KNN
K-Means
2
Which of these Linear Regression algorithms shouldn't be used FOR PREDICTIONS?
Lasso
Ridge
It depends
ElasticNet
3
Which distribution is used to check if there are differences in categorical distributions?
Chi-Square
Gaussian (Normal)
Kolmogorov-Smirnov
Poisson
4
Which is the most representative estimator to summarize the average of the Spain wages?
Mean
Median
Mode
None
5
What function is applied to Linear Regression to get the Logistic Regression?
Sign Function
Probability Function
Sigmoid Function
Softmax Function
6
Tenemos derecho a la igualdad de oportunidades?
Si
No
Que pinta esto en un Kahoot?
Shine On You Crazy Diamond... š¶š¶š¶
7
Which one is the field of Linear Regression?
All of them
Maths
Statistics
ML
8
How don't you check your git current local branch?
git add
git status
git branch
git checkout
9
For which type of ML we don't necessarily have to scale our data?
Supervised Learning
Unsupervised Learning
Reinforcement Learning
You don't need to scale your data in any of them
10
Are you gonna give me up?
Well it depends on the context
Absolutely!
Of course
Never!
11
In NLP how is called the process in which we transform the text to numbers?
Lemmatization
We don't do that here
Stemming
Vectorization
12
Which of these joins IS available in MySQL?
FULL OUTER JOIN
FULL JOIN
SELF JOIN
CROSS JOIN
13
What is the output type of this variable assignment?
List
Set
Dictionary
TypeError
14
Which of these algorithms CAN'T handle non-linear data WITHOUT transforming the target variable?
Decision tree
SVC
Linear Regression
Perceptron
15
Will this statement have an output?
False
True
16
Given that the ebola tests recall is 100% and specifity 95%, you are positive. Are you infected? (Population data)
Probably
Probably not
Yes
No
17
Descriptive statistics: Analysis of the frequency of the past \Inference Statistics: predicting likelihood of the future
True
False
18
From which discrete distribution is infered the normal (gaussian) distribution?
Binomial
Poisson
Uniform
Hypergeometrical
19
The Output of this statement will be:
D: keys == fruit names and values == sum of indexes positions of that fruit
D: keys == fruit names and values == list of indexes of those fruits
Set with the fruit names
D: keys == fruit names and values == nĀŗ of times that appeared in the list
20
Which of these libraries is used for not only webscraping but for automating web tests?
BeautifulSoup
Selenium
Requests
Scrapy
21
Why is the normal distribution so important in hypothesis testing?
Due to the central limit theorem
Due to its flexibility while dealing with categorical data
Due to how easy is to perform operations in its PDF
Due to the law of large numbers
22
Which of these pandas methods can be used for joining DataFrames?
pd.join()
All of them
pd.merge()
pd.concat()
23
What is missing in this class?
The "self" variable in the "default_function" declaration
Nothing
The "__init__" method
The "self" variable in the "ThisAClass" declaration
24
We want to transform a column by adding 1 to all its values. Which is the best way to do it?
df["column"] = df["column"].apply(lambda x: x + 1)
df["column"] = sum_function(df["column"])
df["column"] = df["column"] + 1
df["column"] = df["column"].map(lambda x: x + 1)
25
We have built a model to predict the painter of a given painting (the image). Which of the following statements is true?
We haven't used DL, normalized the pixels data and used F1 Score.
We haven't used DL, didn't normalized the pixels data and used precision.
We haven't used DL , normalized the pixels data and used F1 Score.
We have used DL, normalized the pixels data and used accuracy.
26
Which is the most representative estimator to summarize THE FAVOURITE film of your friends?
Mode
None
Mean
Median
27
How should we index this 3D array to get only the pink values?
cube[:,2,:]
cube[:,:,-2]
cube[2, :, 1]
cube[-1, 2, :]
