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Statistics with Python MCQ's
1. Which of the following definition is used by default in kurtosis method of scipy.stats module?
View Answerfisher
2. Which of the following method of scipy.stats module is used to determine inter quartile range a distribution?
View Answeriqr
3. Which of the following equations represent inter-quartile range (IQR)?
View AnswerQ3 - Q1
4. Which of the following expressions, correctly calculate variance of a sample, x, derived from a population?
View Answernp.var(x, ddof=1)
5. What is the output of the following expression?
View Answerfrom scipy import stats print(stats.mode([8, 9, 8, 7, 9, 6, 7, 6])) ModeResult(mode=array([6]), count=array([2]))
Structured Data MCQ's
1. Identify the structured data from the following
View AnswerData from mySQL DB and Excel
2. What kind of classification is our case study 'Churn Analysis'?
View AnswerBinary
3. Which command is used to identify the unique values of a column?
View Answerunique()
4. Which preprocessing technique is used to make the data gaussian with zero mean and unit variance?
View AnswerStandardization
5. True Negative is when the predicted instance and the actual is positive.
View AnswerFalse
Blockchain MCQ's
1. Blockchain which is popularly known as ‘for the people, by the people and of the people” is ___________.
View Answerpublic
2. Bitcoin network would make it impossible to bypass the traditional financial intermediaries.
View AnswerFalse
3. The three concepts used to explain the foundation of blockchain are __________________.
View Answerbusiness n/w,digital assets,ledger
4. Private Blockchain is a de-centralized type of Blockchain?
View AnswerFalse
5. The value of coins ( litecoin, bitcoin) is same at a particular time.
View AnswerFalse
Data visualization MCQ's
1.What needs to be considered first before you start a data visualization presentation?
Ans:- Data
2.Data Visualization makes complex data more
Ans:-Understandable
3.How does visualization of big data help in interpreting information?
Ans:-clear
4.What is the purpose of using a dashboard for data visualization?
Ans:-comm
Problem -2
Problem Statement:
Arpasland has surrounded by attackers. A truck enters the city. The driver claims the load is food and medicine from Iranians. Ali is one of the soldiers in Arpasland. He doubts about the truck, maybe it's from the siege. He knows that a tag is valid if the sum of every two consecutive digits of it is even and its letter is not a vowel. Determine if the tag of the truck is valid or not.
We consider the letters "A","E","I","O","U","Y" to be vowels for this problem.
Problem - 1
Problem Statement:
You are required to enter a word that consists of and that denote the number of Zs and Os respectively. The input word is considered similar to word zoo if .
Determine if the entered word is similar to word zoo.
For example, words such as zzoooo and zzzoooooo are similar to word zoo but not the words such as zzooo and zzzooooo.
SageMaker - Amazon ML MCQ's
1. Asynchronous Predictions are possible in SageMaker through _________________.
View AnswerBatchTranform
2. Training Data for SageMaker models is ___________________.
View AnswerStored in S3
3. Which of the following algorithms is best suited for detecting malicious server activity?
View AnswerIP
4. Hyperparameters are _______________________.
View AnswerModel-specific parameters which are preset before training
Aptitude Questions - 1
1. The average weight of 8 person's increases by 2.5 kg when a new person comes in place of one of them weighing 65 kg. What might be the weight of the new person?
View Answer85kg
2. The difference between a two-digit number and the number obtained by interchanging the digits is 36. What is the difference between the sum and the difference of the digits of the number if the ratio between the digits of the number is 1 : 2 ?
View Answer8
3. Three candidates contested an election and received 1136, 7636 and 11628 votes respectively. What percentage of the total votes did the winning candidate get?
View Answer57%
4. In a certain store, the profit is 320% of the cost. If the cost increases by 25% but the selling price remains constant, approximately what percentage of the selling price is the profit?
View Answer70%
Overfitting & Underfitting in Machine Learning
Overfitting in Machine Learning
Overfitting refers to a model that models the
training data too well.
Overfitting happens when a model learns the detail and noise in the training data to the extent that it negatively impacts the performance of the model on new data. This means that the noise or random fluctuations in the training data is picked up and learned as concepts by the model. The problem is that these concepts do not apply to new data and negatively impact the models ability to generalize.