BlazeClan Technologies Machine Learning Engineer Interview Questions, Process, and Tips

Over-fitting is when a model is too complex and fits the training data too well, while under-fitting is when a model is too simple and cannot capture the underlying patterns in the data.

• Over-fitting occurs when a model is trained too much on the training data and starts to memorize it instead of learning the underlying patterns.

• Under-fitting occurs when a model is too simple and cannot capture the complexity of the dat...read more

Label encoding and one-hot encoding are techniques used to convert categorical data into numerical data.

• Label encoding assigns a unique numerical value to each category in a feature.

• One-hot encoding creates a binary vector for each category in a feature.

• Label encoding is useful when the categories have an inherent order or hierarchy.

• One-hot encoding is useful when the categories are unordered or when the number of cate...read more

Python function to check if a number is prime or not

• Check if number is less than 2, return False

• Check if number is divisible by any number from 2 to its square root, return False

• Else, return True

Python function to check if a number is palindrome or not.

• Convert the number to a string

• Reverse the string

• Compare the reversed string with the original string

• Return True if they are equal, else False

AWS S3 has 6 storage classes: S3 Standard, S3 Intelligent-Tiering, S3 Standard-Infrequent Access, S3 One Zone-Infrequent Access, S3 Glacier, and S3 Glacier Deep Archive.

• S3 Standard: for frequently accessed data

• S3 Intelligent-Tiering: automatically moves data to the most cost-effective tier

• S3 Standard-Infrequent Access: for long-lived, infrequently accessed data

• S3 One Zone-Infrequent Access: for infrequently accessed da...read more

AWS SageMaker DataWrangler is a data preparation service that helps to clean and normalize data for machine learning.

• It provides a visual interface to explore, transform, and combine data from various sources.

• It supports a wide range of data formats and can handle missing or inconsistent data.

• It generates code in Python or PySpark for reproducibility and scalability.

• It integrates with other AWS services like SageMaker

A docker image is a lightweight, standalone, executable package that includes everything needed to run an application.

• Docker images are created using a Dockerfile which contains instructions for building the image.

• Images can be stored in a registry and pulled to run on any machine with Docker installed.

• To check running containers, use the command 'docker ps' which lists all running containers.

• To see all containers, inc

A layer in AWS Lambda is a distribution mechanism for libraries, custom runtimes, and other function dependencies.

• Layers can be used to manage dependencies for multiple functions.

• They can be created and managed in the AWS Management Console or through the AWS CLI.

• Layers can be shared across multiple AWS accounts and regions.

• They can be used to separate code from configuration and make it easier to update dependencies.

• E...read more

Metrics for regression problems

• Mean Squared Error (MSE)

• Root Mean Squared Error (RMSE)

• Mean Absolute Error (MAE)

• R-squared (R²) score

• Coefficient of Determination

• Explained Variance Score

args and kwargs are special syntax in Python used to pass a variable number of arguments to a function.

• args is used to pass a variable number of non-keyword arguments to a function

• kwargs is used to pass a variable number of keyword arguments to a function

• args is represented by an asterisk (*) and kwargs is represented by two asterisks (**)

• args and kwargs can be used together in a function definition

• Example: def my_func