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1
Introduction.
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2
Tell me about yourself.
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3
Explain the problem statement.
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4
Explain your notebook/project.
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5
Explain why you performed each feature engineering step.
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6
Explain your EDA.
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7
Explain any graph you created.
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8
Which charts did you use and why?
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9
When should each type of chart be used?
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10
Explain your Pipeline.
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11
Explain your best model.
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12
Explain any model.
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13
How does the model work?
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14
What is Hyperparameter Tuning?
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15
Why is Hyperparameter Tuning required?
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16
Difference between GridSearchCV and RandomizedSearchCV.
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17
Explain the hyperparameters you tuned.
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18
What is the validation size in train_test_split?
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19
What is Mean, Median, and Mode?
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20
When should Mean, Median, and Mode be used for imputation?
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21
What is SimpleImputer?
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22
How do encoders work?
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23
Explain the encoding technique you used.
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24
What is Tokenization?
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25
Why do we remove stop words?
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26
Can custom stop words be used?
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27
What is a Word Cloud?
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28
Where is a Word Cloud useful?
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29
What is a Confusion Matrix?
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30
Explain F1-Score.
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31
What is the Loss Function?
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32
What is RMSE?
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33
Explain Bagging.
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34
Explain Boosting.
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35
Explain KNN.
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36
Explain K-Means.
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37
Difference between Supervised and Unsupervised Learning.
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38
What is overfitting?
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39
What is underfitting?
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40
Did you face overfitting or underfitting in your project?
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41
How did you handle it?
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42
What are outliers?
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43
How do you detect outliers?
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44
How do you handle outliers?
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45
Which visualization library did you use?
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46
Difference between Matplotlib and Seaborn.
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47
How many Kaggle submissions did you make?
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48
What changes improved your leaderboard score?
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49
How did you improve your project over different versions?
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50
Did you use AI tools during the project?
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51
How did you use AI?
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52
If you get stuck while building a model or debugging code, how would you solve it?
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53
Scenario: You are given a bank dataset to predict whether a customer will repay a credit bill. Explain your complete approach.
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54
Which model would you choose for that problem and why?
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55
Are you a student or a working professional?
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56
What are your future plans?
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57
Are you planning for higher studies?
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58
Are you participating in hackathons?
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59
Discuss your internships and projects.