Pyq- Kinetic Theory Of Gases & Equation Of Ideal Gas

Question 1:#

What is the difference between supervised and unsupervised learning?

In supervised learning, the model is trained on a dataset of labeled data. The model learns to map the input features to the output labels. In unsupervised learning, the model is trained on a dataset of unlabeled data. The model learns to find patterns and structures in the data.

Explanation:#

In supervised learning, the model is trained on a dataset of labeled data. The model learns to map the input features to the output labels. In unsupervised learning, the model is trained on a dataset of unlabeled data. The model learns to find patterns and structures in the data.

Question 2:#

What are some common supervised learning algorithms?

Some common supervised learning algorithms include linear regression, logistic regression, decision trees, random forests, and support vector machines.

Explanation:#

Some common supervised learning algorithms include linear regression, logistic regression, decision trees, random forests, and support vector machines.

Question 3:#

What are some common unsupervised learning algorithms?

Some common unsupervised learning algorithms include k-means clustering, principal component analysis (PCA), and deep learning.

Explanation:#

Some