BM Infotrade Data Scientist Interview Questions, Process, and Tips

List is mutable, tuple is immutable in Python.

• List can be modified after creation, tuple cannot.

• List uses square brackets [], tuple uses parentheses ().

• List is used for collections of items that may change, tuple for fixed collections.

• Example: list_example = [1, 2, 3], tuple_example = (4, 5, 6)

Normalization in SQL is the process of organizing data in a database to reduce redundancy and improve data integrity.

• Normalization involves breaking down data into smaller, more manageable tables.

• It helps in reducing data redundancy by storing data in a structured way.

• Normalization ensures data integrity by minimizing data anomalies.

• There are different normal forms like 1NF, 2NF, 3NF, etc. to achieve database normaliza...read more

Supervised learning uses labeled data for training, while unsupervised learning uses unlabeled data. Machine learning is a subset of AI, while deep learning is a subset of machine learning. CNNs are used for image recognition, while RNNs are used for sequential data.

• Supervised learning requires labeled data for training, where the model learns to map input data to output labels (e.g., classification or regression tasks...read more

Arrays are one-dimensional data structures, while dataframes are two-dimensional data structures used in data analysis.

• Arrays are one-dimensional and can hold only one type of data, while dataframes are two-dimensional and can hold multiple types of data.

• Dataframes are commonly used in data analysis with libraries like Pandas in Python, while arrays are more basic data structures.

• Arrays are typically used for simple da...read more