Introduction to Supervised Machine Learning in Data Science with Python
What is Supervised Learning?
Supervised learning is a machine learning technique where models are trained using labeled datasets. The algorithm learns relationships between input features and output labels to make predictions.
Common Supervised Algorithms
- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forest
- K-Nearest Neighbors
Example
python
from sklearn.linear_model import LinearRegression
model = LinearRegression()
Next Tutorial: Linear Regression
