question stringlengths 11 711 | domain stringclasses 8
values | company stringclasses 30
values | year float64 2.02k 2.02k ⌀ | coding stringclasses 2
values | personal_exp stringclasses 2
values | category float64 0 1 |
|---|---|---|---|---|---|---|
how have you used statistics in your work as a Data Analytics? | Data Analytics | IBM | null | no | no | 0 |
how to encode a categorical variable with thousands of distinct values? | Machine Learning | IBM | null | no | no | 0 |
how would you approach rotating a matrix by 90 degrees clockwise? | Data Analytics | IBM | null | no | no | 0 |
how would you attempt to solve a data science problem? | Data Science | IBM | null | no | no | 0 |
how would you check if a string b is a rotated version of string a? | Machine Learning | IBM | null | no | no | 0 |
how would you describe yourself as a Data Analytics? | Data Analytics | IBM | null | no | no | 1 |
how would you determine whether string b is a rotated version of string a of different lengths? | Machine Learning | IBM | null | no | no | 0 |
how would you estimate the best month to offer a discount on shoes? | Data Analytics | IBM | null | no | no | 0 |
how would you estimate the weekly profit of your favorite restaurant? | Data Analytics | IBM | null | no | no | 0 |
how would you give each rejected applicant a reason why they got rejected for a loan using a binary classification model? | Machine Learning | IBM | null | no | no | 0 |
how would you go about measuring the performance of company? | Data Analytics | IBM | null | no | no | 0 |
how would you handle encoding for a categorical variable with thousands of distinct values? | Data Analytics | IBM | null | no | no | 0 |
how would you implement a rotation of a matrix by 90 degrees clockwise in code? | Data Analytics | IBM | null | no | no | 0 |
how would you leverage transfer learning to build a custom machine learning model? | Machine Learning | IBM | null | no | no | 0 |
how would you structure a database for a ride-sharing platform like uber? | Data Analytics | IBM | null | no | no | 0 |
how you can define data cleaning as a critical part of process? | Data Science | IBM | null | no | no | 0 |
if i want to counterbalance the cons of pursuing a data science or ai journey, where can i find a certification program? | Data Science | IBM | null | no | no | 0 |
implement the k-means clustering algorithm in python from scratch, and return a list of the cluster of each point in the original list in the same order. | Machine Learning | IBM | null | no | no | 0 |
lets say you have a categorical variable with thousands of distinct values, how would you encode it? | Data Science | IBM | null | no | no | 0 |
list down the conditions for overfitting and underfitting | Data Science | IBM | null | no | no | 0 |
mention some of the main challenges in Machine Learning. | Machine Learning | IBM | null | no | no | 0 |
once you have the data, how would you use it to calculate an estimate? | Data Analytics | IBM | null | no | no | 0 |
retrieve the total cost of all transactions by user, arranging the results in descending order based on the total cost. | Data Analytics | IBM | null | no | no | 0 |
suppose there is a dataset having variables with missing values of more than 30%, how will you deal with such a dataset? | Data Science | IBM | null | no | no | 0 |
suppose we have a binary classification model that classifies whether or not an applicant should be qualified to get a loan. given we dont have access to the feature weights, how would we give each rejected applicant a reason why they got rejected? | Machine Learning | IBM | null | no | no | 0 |
suppose you are asked to run a two-week-long a/b test to test an increase in pricing. how would you approach designing this test? | Data Analytics | IBM | null | no | no | 0 |
tell me about a data problem that challenged you. | Data Analytics | IBM | null | no | no | 0 |
tell me about a time when you exceeded expectations during a project. what did you do, and how did you accomplish it? | All | IBM | null | no | yes | 1 |
tell me about a time when you experienced a difficult problem in your data science career. how did you approach and resolve it? | All | IBM | null | no | yes | 0 |
tell me about a time when you got unexpected results. | Data Analytics | IBM | null | no | yes | 0 |
tell me about yourself. | Data Analytics | IBM | null | no | no | 1 |
what approach would you present for the svm question? | Machine Learning | IBM | null | no | no | 0 |
what are decision trees? | Machine Learning | IBM | null | no | no | 0 |
what are eigenvectors and eigenvalues? | Data Science | IBM | null | no | no | 0 |
what are feature vectors in the context of machine learning? | Machine Learning | IBM | null | no | no | 0 |
what are index and match functions, and how do they work together? | Data Analytics | IBM | null | no | no | 0 |
what are recommender systems? | Data Science | IBM | null | no | no | 0 |
what are some common ai use cases in business? | Machine Learning | IBM | null | no | no | 0 |
what are some commonly used artificial neural networks? | Machine Learning | IBM | null | no | no | 0 |
what are some differences between classification and regression? | Machine Learning | IBM | null | no | no | 0 |
what are some key ct terms? | Data Analytics | IBM | null | no | no | 0 |
what are some of the techniques used for sampling? | Data Science | IBM | null | no | no | 0 |
what are the architecture and components of a convolutional neural network (cnn)? | Machine Learning | IBM | null | no | no | 0 |
what are the available feature selection methods for selecting the right variables for building efficient predictive models? | Data Science | IBM | null | no | no | 0 |
what are the clarifying questions to ask for the svm question? | Machine Learning | IBM | null | no | no | 0 |
what are the differences between correlation and covariance? | Data Science | IBM | null | no | no | 0 |
what are the trade-off between bias and variance in machine learning models? | Machine Learning | IBM | null | no | no | 0 |
what are the types of Machine Learning? | Machine Learning | IBM | null | no | no | 0 |
what are various steps involved in an analytics project? | Data Science | IBM | null | no | no | 0 |
what are z- and t-tests, and when should one be used over the other? | Data Science | IBM | null | no | no | 0 |
what challenges did you face? | Data Science | IBM | null | no | no | 0 |
what data analytics software are you familiar with? | Data Analytics | IBM | null | no | no | 0 |
what data analytics software are you trained in? | Data Analytics | IBM | null | no | no | 0 |
what data software have you used in the past? | Data Analytics | IBM | null | no | no | 0 |
what do Data Analyticss do? | Data Analytics | IBM | null | no | no | 0 |
what do you mean by word data science? | Data Science | IBM | null | no | no | 0 |
what do you understand about imbalanced data? | Data Science | IBM | null | no | no | 0 |
what do you understand about stochastic gradient descent? | Data Science | IBM | null | no | no | 0 |
what do you understand by letter r? | Data Science | IBM | null | no | no | 0 |
what do you understand by survivorship bias? | Data Science | IBM | null | no | no | 0 |
what do you understand by term hash table collisions? | Data Science | IBM | null | no | no | 0 |
what does it mean when the p-values are high and low? | Data Science | IBM | null | no | no | 0 |
are there any key success indicators for someone serving a role like Data Science? | Data Analytics | Intel | null | no | no | 1 |
between python and r, which one will you choose for analyzing the text, and why? | Data Science | Intel | null | no | no | 0 |
build a logistic regression model on the customer_churn dataset in python. the dependent variable is churn and the independent variable is monthlycharges. find the log_loss of the model. | Data Science | Intel | null | no | no | 0 |
calculate the rmse values for the model building. | Data Science | Intel | null | no | no | 0 |
can you avoid overfitting your model? | Data Science | Intel | null | no | no | 0 |
can you describe your experience with incident response? | Data Analytics | Intel | null | no | yes | 0 |
can you explain a complex technical concept related to threat intelligence in non-technical terms? | Data Analytics | Intel | null | no | no | 1 |
can you share an example of how you have applied threat intelligence to prevent an attack? | Data Analytics | Intel | null | no | no | 1 |
can you tell me about a time when you made a decision that didn't work out? | Data Analytics | Intel | null | no | yes | 1 |
can you tell me about a time when you made a decision that didn't work out? what did you learn as a result of this? | Data Analytics | Intel | null | no | yes | 1 |
can you tell me about a time you discovered a threat that wasn't previously known? | Data Analytics | Intel | null | no | no | 0 |
can you tell us about a time where you received unpleasant feedback? | Data Analytics | Intel | null | no | no | 1 |
can you walk me through the threat intelligence analysis process? | Data Analytics | Intel | null | no | no | 0 |
could you explain how cross-validation is used to assess the performance of a machine learning model? | Machine Learning | Intel | null | no | no | 0 |
could you outline the process of setting up an a/b test for this purpose? | Data Analytics | Intel | null | no | no | 0 |
define neural networks and its types | Data Science | Intel | null | no | no | 0 |
define the terms kpi, lift, model fitting, robustness, and doe. | Data Science | Intel | null | no | no | 0 |
difference between point estimates and confidence interval. | Data Science | Intel | null | no | no | 0 |
differentiate between data analytics and data science | Data Science | Intel | null | no | no | 0 |
explain bagging in data science. | Data Science | Intel | null | no | no | 0 |
explain boosting in data science. | Data Science | Intel | null | no | no | 0 |
explain collaborative filtering in recommender systems. | Data Science | Intel | null | no | no | 0 |
explain content-based filtering in recommender systems. | Data Science | Intel | null | no | no | 0 |
explain how a recommender system works. | Data Science | Intel | null | no | no | 0 |
explain how machine learning is different from Machine Learning. | Data Science | Intel | null | no | no | 0 |
explain information gain and its importance in constructing a decision tree. | Data Science | Intel | null | no | no | 0 |
explain selection bias. | Data Science | Intel | null | no | no | 0 |
explain stacking in data science. | Data Science | Intel | null | no | no | 0 |
explain tf/idf vectorization. | Data Science | Intel | null | no | no | 0 |
explain the differences between supervised and unsupervised learning. | Data Science | Intel | null | no | no | 0 |
explain the purpose of data cleaning | Data Science | Intel | null | no | no | 0 |
explain univariate, bivariate, and multivariate analyses. | Data Science | Intel | null | no | no | 0 |
give an example of collaboration with other teams? | Data Analytics | Intel | null | no | no | 1 |
have you ever had to disagree with a member of your team? | Data Analytics | Intel | null | no | no | 1 |
how are data science and machine learning related to each other? | Data Science | Intel | null | no | no | 0 |
how are the values of the 'target' column converted in the logistic regression implementation in r? | Data Science | Intel | null | no | no | 0 |
how can time-series data be declared as stationery? | Data Science | Intel | null | no | no | 0 |
how can we deal with outliers? | Data Science | Intel | null | no | no | 0 |
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