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I appeared for an interview before May 2023.
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I applied via Approached by Company and was interviewed in Nov 2024. There were 3 interview rounds.
I applied via Referral and was interviewed in Aug 2024. There was 1 interview round.
Feature selection techniques are methods used to select the most relevant features for a predictive model.
Filter methods: Select features based on statistical measures like correlation, chi-squared, or mutual information.
Wrapper methods: Use a specific model to evaluate the importance of features by training and testing subsets of features.
Embedded methods: Features are selected as part of the model training process, l...
Covariance measures the relationship between two variables, while correlation measures the strength and direction of a relationship.
Covariance can be positive, negative, or zero, indicating the direction of the relationship.
Correlation is always between -1 and 1, with 1 indicating a perfect positive relationship, -1 indicating a perfect negative relationship, and 0 indicating no relationship.
Covariance is affected by t...
Adam optimizer is an extension to the Gradient Descent optimizer with adaptive learning rates and momentum.
Adam optimizer combines the benefits of both AdaGrad and RMSProp optimizers.
Adam optimizer uses adaptive learning rates for each parameter.
Gradient Descent optimizer has a fixed learning rate for all parameters.
Adam optimizer includes momentum to speed up convergence.
Gradient Descent optimizer updates parameters b...
Use ReLU for hidden layers in deep neural networks, avoid for output layers.
ReLU is commonly used in hidden layers to introduce non-linearity and speed up convergence.
Avoid using ReLU in output layers for regression tasks as it can lead to vanishing gradients.
Consider using Leaky ReLU or Sigmoid for output layers depending on the task.
ReLU is computationally efficient and helps in preventing the vanishing gradient prob...
I applied via Company Website and was interviewed in Dec 2023. There were 3 interview rounds.
Standard question from sql and python in hackerrank
Reverse a linked list by changing the direction of pointers
Start with three pointers: current, previous, and next
Iterate through the linked list, updating pointers to reverse the direction
Return the new head of the reversed linked list
I applied via Referral and was interviewed before May 2023. There were 4 interview rounds.
180 mins of online test with camera ON. Major topics include Excel, Aptitude, Python, Statistics and Case Study
Apriori method is a popular algorithm for frequent itemset mining in data mining.
Used for finding frequent itemsets in transactional databases
Based on the concept of association rule mining
Involves generating candidate itemsets and pruning based on support threshold
Example: If {milk, bread} is a frequent itemset, then {milk} and {bread} are also frequent
Train-test split is a method used to divide a dataset into training and testing sets for model evaluation in Scikit learn.
Split the dataset into two subsets: training set and testing set
Training set is used to train the model, while testing set is used to evaluate the model's performance
Common split ratios are 70-30 or 80-20 for training and testing sets
Example: X_train, X_test, y_train, y_test = train_test_split(X, y,
I will streamline the process by identifying bottlenecks and implementing automation.
Analyze current process flow
Identify areas of delay or inefficiency
Implement automation tools to reduce manual effort
Set up clear communication channels between team members
Track progress and adjust as needed
Hypothesis testing in ticket closing example
Define null and alternative hypothesis
Choose appropriate statistical test
Set significance level
Collect data and calculate test statistic
Determine p-value and compare with significance level
Make conclusion and interpret results
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