Cognifyz Technologies Machine Learning Engineer Intern Interview Questions and Answers for Freshers

Bagging and Boosting are ensemble learning techniques used to improve the performance of machine learning models.

• Bagging (Bootstrap Aggregating) involves training multiple models on different subsets of the training data and combining their predictions through averaging or voting.

• Boosting involves training multiple models sequentially, with each model correcting the errors of its predecessor, leading to a strong final ...read more

Principal Component Analysis is a technique used to reduce the dimensionality of data while preserving its variance.

• PCA is a statistical method that transforms high-dimensional data into a new coordinate system called principal components.

• It helps in identifying patterns and relationships in data by finding the directions of maximum variance.

• PCA is commonly used for data visualization, noise reduction, and feature extr...read more