HighRadius Associate Software Engineer Interview Questions and Answers

Very easy assignment -web project

Q1. From project itself
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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
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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
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Q1. Tell me about your experiences.
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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
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