Data
Raw facts collected for analysis.
Public flashcard set
Data Science Basics
Master the core vocabulary of data science, analytics, and machine learning.
Flashcards
Dataset
A structured collection of related data.
Feature
An individual measurable property used for prediction.
Label
The correct answer a model learns to predict.
Model
An algorithm trained to make predictions.
Training Data
Data used to teach a machine learning model.
Test Data
Data used to evaluate model performance.
Prediction
The output generated by a trained model.
Algorithm
A step-by-step method for solving a problem.
Regression
A method for predicting continuous values.
Classification
A method for predicting categories.
Clustering
Grouping similar data without predefined labels.
Accuracy
The percentage of correct predictions.
Overfitting
When a model memorizes training data instead of learning patterns.
Underfitting
When a model is too simple to learn useful patterns.
Data Visualization
Presenting data using charts or graphs.
Correlation
A statistical relationship between two variables.
Outlier
A data point that differs significantly from others.
Normalization
Scaling data to a common range.
Feature Engineering
Creating or improving features to increase model performance.