Introduction to Data Analysis Flashcard

Front

What is the purpose of the `dropna()` function in Pandas?

Back

To remove missing values from a DataFrame.

Front

What is Min-Max Scaling?

Back

A method for normalizing data by transforming features to a fixed range, usually [0, 1].

Front

What is Z-Score Normalization?

Back

A method for normalizing data by subtracting the mean and dividing by the standard deviation.

Front

What function is used to read a CSV file into a DataFrame in Pandas?

Back

read_csv() function.

Front

What is Linear Regression?

Back

A supervised machine learning algorithm used to model the relationship between a dependent variable and one or more independent variables.

Front

What is the primary purpose of the NumPy library?

Back

To perform numerical computations and data manipulation in Python.

Front

What is the difference between supervised and unsupervised learning?

Back

Supervised learning uses labeled data to train models, while unsupervised learning finds patterns in unlabeled data.

Front

What is the purpose of data normalization?

Back

To scale data to a standard range, improving the performance of machine learning algorithms.

Front

What is K-Means Clustering?

Back

An unsupervised machine learning algorithm used to partition data into K distinct clusters.

Front

What is the role of Matplotlib in data analysis?

Back

A Python library used for creating static, animated, and interactive visualizations.

Tags

NGSS.MS-PS3-1