Chandrika Lifestyle Interview Questions and Answers

Python basics include list comprehensions, decorators, and object-oriented programming principles.

• List comprehensions provide a concise way to create lists in Python. Example: squares = [x**2 for x in range(10)]

• Decorators are functions that modify the behavior of other functions. Example: @my_decorator def my_function():

• Object-oriented programming principles in Python involve classes, objects, inheritance, and polymorphism.

NumPy and Pandas are used to manipulate data in Python, with NumPy focusing on numerical operations and Pandas on data manipulation and analysis.

• NumPy is used for numerical operations like array manipulation, mathematical functions, and linear algebra.

• Pandas is used for data manipulation tasks like data cleaning, merging, reshaping, and analysis.

• NumPy arrays can be easily converted to Pandas DataFrames for more advanced data manipulation and analysis.

• Example: Using NumPy to p...read more

Developed a sentiment analysis model using natural language processing techniques.

• Used Python and libraries like NLTK and Scikit-learn for data preprocessing and model building

• Collected and cleaned a dataset of customer reviews from an e-commerce website

• Implemented a bag-of-words model and trained a logistic regression classifier

• Evaluated the model's performance using metrics like accuracy, precision, and recall

Yes, I have experience with cloud computing and would approach building the architecture by leveraging scalable cloud services like AWS or Azure.

• Utilize cloud services like AWS or Azure for scalability and flexibility

• Implement containerization using Docker for easy deployment and management

• Use serverless computing for cost efficiency and automatic scaling

• Leverage managed AI services like AWS SageMaker or Azure Machine Learning for AI/ML tasks

Deep learning is a subset of machine learning that uses neural networks to learn from data. Neural networks are a set of algorithms modeled after the human brain.

• Deep learning is a subset of machine learning that uses neural networks to learn from data

• Neural networks are a set of algorithms modeled after the human brain

• Types of neural networks include feedforward neural networks, convolutional neural networks, recurrent neural networks, etc.

• Activation functions are used in ne...read more

Machine learning is a subset of artificial intelligence that involves the development of algorithms and models that enable computers to learn from and make predictions or decisions based on data.

• Machine learning is a subset of artificial intelligence that focuses on the development of algorithms and models that allow computers to learn from and make predictions or decisions based on data.

• There are three main types of machine learning: supervised learning, unsupervised learnin...read more

Yes, I have prior knowledge of cloud computing.

• I have experience working with cloud platforms such as AWS, Azure, and Google Cloud

• I have deployed machine learning models on cloud servers for scalability and flexibility

• I am familiar with cloud services like EC2, S3, and Lambda functions