HighRadius Associate Software Engineer Interview Questions and Answers

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

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

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