Mandhana Industries Interview Questions and Answers

Python is a high-level programming language known for its simplicity and readability.

• Python is an interpreted language, meaning it does not need to be compiled before execution.

• It supports multiple programming paradigms, including object-oriented, imperative, and functional programming.

• Python has a large standard library with built-in modules for various tasks, making it versatile and efficient.

• It is widely used in data analytics, machine learning, web development, and scient...read more

Different data types in Python include integers, floats, strings, lists, tuples, dictionaries, and booleans.

• Integers: whole numbers without decimals (e.g. 5, -10)

• Floats: numbers with decimals (e.g. 3.14, -0.5)

• Strings: sequences of characters enclosed in quotes (e.g. 'hello', '123')

• Lists: ordered collections of items (e.g. [1, 'apple', True])

• Tuples: ordered, immutable collections of items (e.g. (1, 'banana', False))

• Dictionaries: unordered key-value pairs (e.g. {'key': 'value',...read more

PEP 8 is a style guide for Python code that outlines best practices for writing clean and readable code.

• PEP 8 stands for Python Enhancement Proposal 8.

• It covers topics such as indentation, line length, imports, naming conventions, and more.

• Following PEP 8 helps improve code consistency, readability, and maintainability.

• For example, PEP 8 recommends using 4 spaces for indentation and limiting line length to 79 characters.

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 deletion, pairwise deletion, and mean substitution.

• Multiple ...read more