Python for Data Science and Machine Learning

1.		Which library in Python is used for deep learning?

Keras

PyTorch

TensorFlow

All of the above

2.		Which of the following is a feature selection technique in machine learning?

Principal Component Analysis (PCA)

Recursive Feature Elimination (RFE)

K-means clustering

Gradient descent

3.		Which of the following is an unsupervised learning algorithm?

K-means clustering

Naive Bayes

Linear regression

Decision tree

4.		Which of the following is a method for reducing overfitting in machine learning?

Regularization

Gradient descent

Lasso regression

None of the above

5.		Which of the following is a classification algorithm in machine learning?

Linear regression

K-nearest neighbors

Gradient descent

None of the above

6.		Which of the following is a type of unsupervised learning in machine learning?

Decision tree

Linear regression

K-means clustering

None of the above

7.		Which library in Python is used for machine learning?

Pandas

NumPy

Scikit-learn

TensorFlow

8.		Which of the following is a technique used for handling missing data in machine learning?

Imputation

Standardization

One-hot encoding

Gradient descent

9.		Which of the following is a Python library for natural language processing?

Matplotlib

NumPy

Pandas

NLTK

10.		Which library in Python is used for visualization of data?

Pandas

NumPy

Matplotlib

Scikit-learn