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I applied via Indeed and was interviewed in Jul 2024. There was 1 interview round.
The p value is a measure used in hypothesis testing to determine the significance of the results.
The p value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.
A p value of less than 0.05 is typically considered statistically significant.
A p value greater than 0.05 suggests that the results are not statistically significant.
Researchers use p values to determ...
Calculate probability of unfair coin tossed n times and do hypothesis testing
Calculate the theoretical probability of getting heads or tails for the unfair coin
Perform the actual coin toss n times and record the outcomes
Use hypothesis testing to determine if the coin is unfair based on the observed outcomes
Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.
Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.
Boosting involves training multiple models sequentially, where each subsequent model c...
Simple mediam DSA style questions around ML
Approach involves data preprocessing, model training, evaluation, and interpretation.
Perform data preprocessing such as handling missing values, encoding categorical variables, and scaling features.
Split the data into training and testing sets.
Train the logistic regression model on the training data.
Evaluate the model using metrics like accuracy, precision, recall, and F1 score.
Interpret the model coefficients to under...
I would seek opportunities to apply my skills in related fields within the company.
Explore other departments or teams within the company that may have projects related to my field of interest
Offer to collaborate with colleagues in different departments to bring a new perspective to their projects
Seek out professional development opportunities to expand my skills and knowledge in related areas
Build a simple cat and dog image classifier
I applied via LinkedIn and was interviewed in Sep 2020. There were 5 interview rounds.
VIF stands for Variance Inflation Factor, a measure of multicollinearity in regression analysis.
VIF is used to detect the presence of multicollinearity in regression analysis.
It measures how much the variance of the estimated regression coefficient is increased due to multicollinearity.
A VIF value of 1 indicates no multicollinearity, while a value greater than 1 suggests increasing levels of multicollinearity.
A commonl...
I applied via Company Website and was interviewed in Jan 2024. There were 2 interview rounds.
Related to Mathematical intuition in Deep learning.
Questions related to basic coding were asked, and some background on projects and discussions alongside maths and statistics concepts
I applied via Company Website and was interviewed in Dec 2024. There was 1 interview round.
Easy topics arrays, sequence sum.
based on 2 interviews
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