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I applied via Internshala and was interviewed before May 2023. There was 1 interview round.
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Given time series data of provider, compute hour wise provider wise no of seconds online
Assumptions in Linear Regression
Linear relationship between independent and dependent variables
Homoscedasticity (constant variance) of residuals
Independence of residuals
Normal distribution of residuals
No multicollinearity among independent variables
Overfitting and underfitting are two common problems in machine learning models.
Overfitting occurs when a model is too complex and fits the training data too closely, resulting in poor performance on new data.
Underfitting occurs when a model is too simple and cannot capture the underlying patterns in the data, resulting in poor performance on both training and new data.
Overfitting can be prevented by using regularizati...
To improve the performance of Linear Regression, you can consider feature engineering, regularization, and handling outliers.
Perform feature engineering to create new features that capture important information.
Apply regularization techniques like L1 or L2 regularization to prevent overfitting.
Handle outliers by either removing them or using robust regression techniques.
Check for multicollinearity among the independent...
Metrics used to evaluate Linear Regression
Mean Squared Error (MSE)
Root Mean Squared Error (RMSE)
R-squared (R²)
Adjusted R-squared (Adj R²)
Mean Absolute Error (MAE)
Residual Sum of Squares (RSS)
Akaike Information Criterion (AIC)
Bayesian Information Criterion (BIC)
Cost function measures the difference between predicted and actual values. Error function measures the average of cost function.
Cost function is used to evaluate the performance of a machine learning model.
It measures the difference between predicted and actual values.
Error function is the average of cost function over the entire dataset.
It is used to optimize the parameters of the model.
Examples of cost functions are ...
Overfitting in Linear Regression can be handled by using regularization techniques.
Regularization techniques like Ridge regression and Lasso regression can help in reducing overfitting.
Cross-validation can be used to find the optimal regularization parameter.
Feature selection and dimensionality reduction techniques can also help in reducing overfitting.
Collecting more data can help in reducing overfitting by providing
Least Squares Method and Maximum Likelihood are both used to estimate parameters, but differ in their approach.
Least Squares Method minimizes the sum of squared errors between the observed and predicted values.
Maximum Likelihood estimates the parameters that maximize the likelihood of observing the given data.
Least Squares Method assumes that the errors are normally distributed and independent.
Maximum Likelihood does n...
Logistic Regression formula is used to model the probability of a certain event occurring.
The formula is: P(Y=1) = e^(b0 + b1*X1 + b2*X2 + ... + bn*Xn) / (1 + e^(b0 + b1*X1 + b2*X2 + ... + bn*Xn))
Y is the dependent variable and X1, X2, ..., Xn are the independent variables
b0, b1, b2, ..., bn are the coefficients that need to be estimated
The formula is used to predict the probability of a binary outcome, such as whether...
Type I error is rejecting a true null hypothesis, while Type II error is failing to reject a false null hypothesis.
Type I error is also known as a false positive
Type II error is also known as a false negative
Type I error occurs when the significance level is set too high
Type II error occurs when the significance level is set too low
Examples: Type I error - Convicting an innocent person, Type II error - Failing to convi...
Metrics used to evaluate classification models
Accuracy
Precision
Recall
F1 Score
ROC Curve
Confusion Matrix
Overfitting in decision trees can be handled by pruning, reducing tree depth, increasing dataset size, and using ensemble methods.
Prune the tree to remove unnecessary branches
Reduce tree depth to prevent overfitting
Increase dataset size to improve model generalization
Use ensemble methods like Random Forest to reduce overfitting
Underfitting can be handled by increasing tree depth, adding more features, and reducing regu...
Case Study - How do you improve user engagement of Facebook?
Guesstimates - How many people watched the Squid Game series on Netflix
How do you reduce partner churn in UC?
I applied via Referral
I applied via Approached by Company and was interviewed before Apr 2023. There was 1 interview round.
Urban Company interview questions for popular designations
I have 10 years of experience in total, with 4 years of experience as a UC technician.
I have worked in various roles for 10 years, including 4 years as a UC technician
During my time as a UC technician, I gained expertise in troubleshooting and resolving complex issues
I have also developed strong communication and collaboration skills while working with cross-functional teams
My experience in other roles has given me a w...
Hi ,I am Ac expert total experience 10th years and .Urban Company experience 4th years.
Get interview-ready with Top Urban Company Interview Questions
I applied via Internshala and was interviewed in Mar 2022. There were 2 interview rounds.
I applied via LinkedIn and was interviewed before Jan 2022. There were 4 interview rounds.
I would start with 3-4 partners initially to test the market and then expand accordingly.
I would conduct market research to identify potential partners
I would evaluate their product offerings and pricing
I would consider their reputation and customer base
I would start with a few partners to test the market and then expand as needed
I would also consider partnering with popular grooming brands such as Gillette or Axe
The number of runways for an airport in Delhi depends on various factors such as traffic, weather, and future growth.
The number of runways should be based on the projected traffic and growth of the airport.
Weather conditions and the need for maintenance should also be taken into consideration.
For example, if the airport is expected to handle a large number of flights, it may require multiple runways to avoid delays and...
Basic expectations from the job
I would listen to their complaint, apologize for any inconvenience caused, and offer a solution to rectify the issue.
Listen attentively to the complaint
Apologize for any inconvenience caused
Offer a solution to rectify the issue
Ensure customer satisfaction
Theory test
Practical test
I applied via Internshala and was interviewed before May 2023. There was 1 interview round.
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