iNeuron.ai Interview Questions and Answers

Object-oriented programming paradigm that focuses on objects and classes for code organization and reusability.

• Encapsulation: Bundling data and methods that operate on the data into a single unit (class).

• Inheritance: Ability of a class to inherit properties and behavior from another class.

• Polymorphism: Ability to present the same interface for different data types.

• Abstraction: Hiding the complex implementation details ...read more

Machine learning is a subset of artificial intelligence that involves training algorithms to make predictions or decisions based on data.

• Machine learning involves using algorithms to learn patterns in data

• It can be supervised, unsupervised, or semi-supervised

• Examples include image recognition, natural language processing, and recommendation systems

Missing values can be handled by imputation or deletion.

• Imputation involves filling in missing values with estimated values based on other data points.

• Deletion involves removing rows or columns with missing values.

• The choice of method depends on the amount and pattern of missing data.

• Imputation methods include mean imputation, regression imputation, and k-nearest neighbor imputation.

• Deletion methods include listwise de...read more