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🔵Interview QnA Explained Video
SQL interview question asked by IBM Company.
Check explained solution on our YouTube channel, link below.
👉🏻https://youtu.be/y259wQyFBbg
SQL interview question asked by IBM Company.
Check explained solution on our YouTube channel, link below.
👉🏻https://youtu.be/y259wQyFBbg
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🔵 Interview QnA Explained Video
Python interview question asked in Meta Company, by Instagram team.
Check explained solution on our YouTube channel, link below.
👉🏻https://youtu.be/jdQEjf3cdbQ
Python interview question asked in Meta Company, by Instagram team.
Check explained solution on our YouTube channel, link below.
👉🏻https://youtu.be/jdQEjf3cdbQ
Today's Interview QnAs
Company- Wipro
Role: Data Scientist
1. List the most popular distribution curves along with scenarios where you will use them in an algorithm.
Ans: The most popular distribution curves are as follows- Bernoulli Distribution, Uniform Distribution, Binomial Distribution, Normal Distribution, Poisson Distribution, and Exponential Distribution.
Each of these distribution curves is used in various scenarios.
Bernoulli Distribution can be used to check if a team will win a championship or not, a newborn child is either male or female, you either pass an exam or not, etc.
Uniform distribution is a probability distribution that has a constant probability. Rolling a single dice is one example because it has a fixed number of outcomes.
Binomial distribution is a probability with only two possible outcomes, the prefix ‘bi’ means two or twice. An example of this would be a coin toss. The outcome will either be heads or tails.
Normal distribution describes how the values of a variable are distributed. It is typically a symmetric distribution where most of the observations cluster around the central peak. The values further away from the mean taper off equally in both directions. An example would be the height of students in a classroom.
Poisson distribution helps predict the probability of certain events happening when you know how often that event has occurred. It can be used by businessmen to make forecasts about the number of customers on certain days and allows them to adjust supply according to the demand.
Exponential distribution is concerned with the amount of time until a specific event occurs. For example, how long a car battery would last, in months.
2.Why is logistic regression a type of classification technique and not a regression? Name the function it is derived from?
Ans: Since the target column is categorical, it uses linear regression to create an odd function that is wrapped with a log function to use regression as a classifier. Hence, it is a type of classification technique and not a regression. It is derived from cost function.
3. What is OOB error and how does it occur?
Ans: For each bootstrap sample, there is one-third of data that was not used in the creation of the tree, i.e., it was out of the sample. This data is referred to as out of bag data. In order to get an unbiased measure of the accuracy of the model over test data, out of bag error is used. The out of bag data is passed for each tree is passed through that tree and the outputs are aggregated to give out of bag error. This percentage error is quite effective in estimating the error in the testing set and does not require further cross-validation.
4. State the limitations of Fixed Basis Function.
Ans: Linear separability in feature space doesn’t imply linear separability in input space. So, Inputs are non-linearly transformed using vectors of basic functions with increased dimensionality. Limitations of Fixed basis functions are:
Non-Linear transformations cannot remove overlap between two classes but they can increase overlap.
Often it is not clear which basis functions are the best fit for a given task. So, learning the basic functions can be useful over using fixed basis functions.
If we want to use only fixed ones, we can use a lot of them and let the model figure out the best fit but that would lead to overfitting the model thereby making it unstable.
Company- Wipro
Role: Data Scientist
1. List the most popular distribution curves along with scenarios where you will use them in an algorithm.
Ans: The most popular distribution curves are as follows- Bernoulli Distribution, Uniform Distribution, Binomial Distribution, Normal Distribution, Poisson Distribution, and Exponential Distribution.
Each of these distribution curves is used in various scenarios.
Bernoulli Distribution can be used to check if a team will win a championship or not, a newborn child is either male or female, you either pass an exam or not, etc.
Uniform distribution is a probability distribution that has a constant probability. Rolling a single dice is one example because it has a fixed number of outcomes.
Binomial distribution is a probability with only two possible outcomes, the prefix ‘bi’ means two or twice. An example of this would be a coin toss. The outcome will either be heads or tails.
Normal distribution describes how the values of a variable are distributed. It is typically a symmetric distribution where most of the observations cluster around the central peak. The values further away from the mean taper off equally in both directions. An example would be the height of students in a classroom.
Poisson distribution helps predict the probability of certain events happening when you know how often that event has occurred. It can be used by businessmen to make forecasts about the number of customers on certain days and allows them to adjust supply according to the demand.
Exponential distribution is concerned with the amount of time until a specific event occurs. For example, how long a car battery would last, in months.
2.Why is logistic regression a type of classification technique and not a regression? Name the function it is derived from?
Ans: Since the target column is categorical, it uses linear regression to create an odd function that is wrapped with a log function to use regression as a classifier. Hence, it is a type of classification technique and not a regression. It is derived from cost function.
3. What is OOB error and how does it occur?
Ans: For each bootstrap sample, there is one-third of data that was not used in the creation of the tree, i.e., it was out of the sample. This data is referred to as out of bag data. In order to get an unbiased measure of the accuracy of the model over test data, out of bag error is used. The out of bag data is passed for each tree is passed through that tree and the outputs are aggregated to give out of bag error. This percentage error is quite effective in estimating the error in the testing set and does not require further cross-validation.
4. State the limitations of Fixed Basis Function.
Ans: Linear separability in feature space doesn’t imply linear separability in input space. So, Inputs are non-linearly transformed using vectors of basic functions with increased dimensionality. Limitations of Fixed basis functions are:
Non-Linear transformations cannot remove overlap between two classes but they can increase overlap.
Often it is not clear which basis functions are the best fit for a given task. So, learning the basic functions can be useful over using fixed basis functions.
If we want to use only fixed ones, we can use a lot of them and let the model figure out the best fit but that would lead to overfitting the model thereby making it unstable.
👏1
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✅ Python (Worth Price: ₹1499)
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✅ Maths & Statistics (Worth Price: ₹1499)
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🔵 Interview QnA Explained Video
Python interview question asked in GOOGLE, AMAZON, FACEBOOK
Check explained solution on our YouTube channel, link below.
👉🏻 https://youtu.be/1TO7MdxC4oM
Python interview question asked in GOOGLE, AMAZON, FACEBOOK
Check explained solution on our YouTube channel, link below.
👉🏻 https://youtu.be/1TO7MdxC4oM
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Check our explained video on our YouTube channel. Link Below.
➡️ https://youtu.be/D9TVCmUxVNg
Check our explained video on our YouTube channel. Link Below.
➡️ https://youtu.be/D9TVCmUxVNg
#quiz
Which of the query below is used to put a value in a variable we need to define for our SQL query?
Which of the query below is used to put a value in a variable we need to define for our SQL query?
Anonymous Quiz
16%
Id = 6;
29%
SET @id = 6;
10%
SET #id = 6;
45%
SET id = 6;
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Cloudyml
Use Of AI in Facility Management
AI is now the most used technology in the world of technology. Read more here on how AI can be used in various fields and how it is changing the way we live.
🔵 Interview QnA Explained Video
Python Interview Question asked in MICROSOFT
Check explained solution on our YouTube channel, link below.
👉🏻 https://youtu.be/cdUCV4j9guo
Python Interview Question asked in MICROSOFT
Check explained solution on our YouTube channel, link below.
👉🏻 https://youtu.be/cdUCV4j9guo
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"Hello World" of Data Science !
Check our latest video on YouTube in which we have worked on Kaggle Titanic Datatset that you should check before working on any other challenge.
Video Link👉🏻 https://youtu.be/Mlq41Wd61nc
Check our latest video on YouTube in which we have worked on Kaggle Titanic Datatset that you should check before working on any other challenge.
Video Link👉🏻 https://youtu.be/Mlq41Wd61nc
Today's Interview QnAs
Company- Tiger Analytics
Role - Data Analyst
1.How to create sets in tableau?
Sets are custom fields used to compare and ask questions about a subset of data. For creating a set on dimension, right-click on a dimension in data pane and select create -> set. In general tab select the fields that will be considered for computing the set. Specify the conditions to create set in conditions tab and you also have the option to select top N members in dataset based on any field in the top tab. When a set is created it divides the measure into two parts namely in and out of the set based on the conditions applied by the user.
2. What is live and extract in tableau?
Extract is a snapshot of the data optimized for aggregation. Extracts are loaded into the system and hence improve the performance of tableau. Whereas extracts won’t help in situations where data is updated continuously because then we manually need to refresh the data for all the updates but using a live connection might slow the processing but will definitely update the data source itself. So, live connection should be used only when data is continuously updating otherwise extract file is preferred.
3.Differentiate between K-Means and KNN algorithms?
KNN algorithms is Supervised Learning where-as K-Means is Unsupervised Learning. With KNN, we predict the label of the unidentified element based on its nearest neighbour and further extend this approach for solving classification/regression-based problems.
K-Means is Unsupervised Learning, where we don’t have any Labels present, in other words, no Target Variables and thus we try to cluster the data based upon their coordinates and try to establish the nature of the cluster based on the elements filtered for that cluster.
4.What is absolute cell reference in excel?
Absolute cell reference is a locked reference and ensures that the rows and columns will not change on copying the cell. We add a '$' symbol in front of the row and column number. When the cell is $A$2, both rows and columns remain unchanged on copying. But if it is $A2, it means that the column remains unchanged, but the row changes on copying. Similarly, for A$2, the column changes, but the row remains unchanged on copying.
—————————————————
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Company- Tiger Analytics
Role - Data Analyst
1.How to create sets in tableau?
Sets are custom fields used to compare and ask questions about a subset of data. For creating a set on dimension, right-click on a dimension in data pane and select create -> set. In general tab select the fields that will be considered for computing the set. Specify the conditions to create set in conditions tab and you also have the option to select top N members in dataset based on any field in the top tab. When a set is created it divides the measure into two parts namely in and out of the set based on the conditions applied by the user.
2. What is live and extract in tableau?
Extract is a snapshot of the data optimized for aggregation. Extracts are loaded into the system and hence improve the performance of tableau. Whereas extracts won’t help in situations where data is updated continuously because then we manually need to refresh the data for all the updates but using a live connection might slow the processing but will definitely update the data source itself. So, live connection should be used only when data is continuously updating otherwise extract file is preferred.
3.Differentiate between K-Means and KNN algorithms?
KNN algorithms is Supervised Learning where-as K-Means is Unsupervised Learning. With KNN, we predict the label of the unidentified element based on its nearest neighbour and further extend this approach for solving classification/regression-based problems.
K-Means is Unsupervised Learning, where we don’t have any Labels present, in other words, no Target Variables and thus we try to cluster the data based upon their coordinates and try to establish the nature of the cluster based on the elements filtered for that cluster.
4.What is absolute cell reference in excel?
Absolute cell reference is a locked reference and ensures that the rows and columns will not change on copying the cell. We add a '$' symbol in front of the row and column number. When the cell is $A$2, both rows and columns remain unchanged on copying. But if it is $A2, it means that the column remains unchanged, but the row changes on copying. Similarly, for A$2, the column changes, but the row remains unchanged on copying.
—————————————————
🔴Become a Pro in Tableau, PowerBi and Excel. Check our Data Visualization Course Package Now. Link Below
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Link👉🏻 https://youtu.be/8d_YAW9l1QQ
Link👉🏻 https://youtu.be/8d_YAW9l1QQ
Today's Interview QnAs
Company - Mindtree
Role : Data Analyst
1. What are the different data types of Tableau.
Ans: There are 7 data types in Tableau
-Boolean (True/False)
-Date (Individual Value)
-Date and Time
-Geography
-Text or String
-Decimal Number
-Whole Number
2.What is a dual-axis?
Ans: It is a function in Tableau that showcases two scales of two measures in a single graph. This is very similar to the function found on Microsoft Office products where a single graph has line and bar elements. In most cases, it has either two X or two Y axes.
A dual-axis is typically used to show trend lines and historical data. An example would be total revenue vs profit across 12 months.
3. What is the shortcut to add a filter to a table?
Ans: The filter mechanism is used when you want to display only specific data from the entire dataset. By doing so, there is no change being made to the data. The shortcut to add a filter to a table is Ctrl+Shift+L.
4. What are the wildcards available in Excel?
Ans: Wildcards only work with text data. Excel has three wildcards.
1. * (Asterisk)
This refers to any number of characters.
2.? (Question mark)
It represents one single character.
3.~ (Tilde)
It is used to identify a wildcard character (~, *, ?) in the text
—————————————————
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In this course, you will get complete roadmap towards your goal from scratch and it will make you technically strong enough so you can crack any Data Analyst OR Business Analyst Job Interview.
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Course Link👉🏻 https://ai.cloudyml.com/analytics
Company - Mindtree
Role : Data Analyst
1. What are the different data types of Tableau.
Ans: There are 7 data types in Tableau
-Boolean (True/False)
-Date (Individual Value)
-Date and Time
-Geography
-Text or String
-Decimal Number
-Whole Number
2.What is a dual-axis?
Ans: It is a function in Tableau that showcases two scales of two measures in a single graph. This is very similar to the function found on Microsoft Office products where a single graph has line and bar elements. In most cases, it has either two X or two Y axes.
A dual-axis is typically used to show trend lines and historical data. An example would be total revenue vs profit across 12 months.
3. What is the shortcut to add a filter to a table?
Ans: The filter mechanism is used when you want to display only specific data from the entire dataset. By doing so, there is no change being made to the data. The shortcut to add a filter to a table is Ctrl+Shift+L.
4. What are the wildcards available in Excel?
Ans: Wildcards only work with text data. Excel has three wildcards.
1. * (Asterisk)
This refers to any number of characters.
2.? (Question mark)
It represents one single character.
3.~ (Tilde)
It is used to identify a wildcard character (~, *, ?) in the text
—————————————————
🔴If you wanna switch your career from any domain to Data Analytics OR Business Analytics then check our DATA ANALYTICS/ BUSINESS ANALYTICS COMBO COURSE.
In this course, you will get complete roadmap towards your goal from scratch and it will make you technically strong enough so you can crack any Data Analyst OR Business Analyst Job Interview.
This course covers Python, SQL, Statistics, Tableau, PowerBi, Excel, Case studies with 1-1 Live Doubt Clearance Support over Skype chat everyday. Check the course NOW!
Course Link👉🏻 https://ai.cloudyml.com/analytics
👏1
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Check out our new YouTube Video in which we have shared all the details of Highly Paying Companies in Data Science Domain🤩
Video Link👉🏻 https://youtu.be/xJCYWnc7l5w
Check out our new YouTube Video in which we have shared all the details of Highly Paying Companies in Data Science Domain🤩
Video Link👉🏻 https://youtu.be/xJCYWnc7l5w