Zaggle Prepaid Ocean Services Associate Software Engineer Interview Questions and Answers

Q1. What is kmeans and how does k determine the clusters?
Ans. 
kmeans is a clustering algorithm that groups data points into k clusters based on their similarity.
• kmeans is an unsupervised learning algorithm

• It starts by randomly selecting k centroids

• Then, it assigns each data point to the nearest centroid

• After that, it recalculates the centroids based on the mean of the data points in each cluster

• It repeats the process until the centroids no longer move significantly

• The value of k ...read more
Answered by AI
Add your answer
Q2. What is the difference between random forest and decision tree ?
Ans. 
Random forest is an ensemble of decision trees that improves accuracy and reduces overfitting.
• Decision tree is a single tree that predicts outcomes based on a set of rules.

• Random forest combines multiple decision trees to make a more accurate prediction.

• Random forest reduces overfitting by randomly selecting a subset of features for each tree.

• Random forest is a type of supervised learning algorithm used for classificat...read more
Answered by AI
Add your answer

Q1. Java Basic, SQL,Hibrnate
Add your answer

Asked 3 problem-solving questions

Q1. Asked about basic java concepts
Add your answer

Very easy assignment -web project

Q1. From project itself
Add your answer

1 hour, the coding test was based on a project given to us

Q1. Detailed questionnaire on React
Add your answer
Q2. Problem solving based on array manipulations
Add your answer

Q1. Tell me about your experiences.
Add your answer
Q2. Tell me about the ML model you have implemented.
Ans. 
Implemented a predictive ML model for customer churn prediction in a telecom company.
• Used logistic regression algorithm for classification

• Performed feature engineering to extract relevant customer data

• Evaluated model performance using metrics like accuracy, precision, recall
Answered by AI
Add your answer

Python coding medium question