Linear Regression Algorithm: Data Science with Python Guide (2026)

Progress 2 / 10

Introduction to Data Science and Python

Python Programming Fundamentals for Data Science

Setting Up Data Science Environment

NumPy for Scientific and Numerical Computing

Pandas for Data Analysis and Manipulation

Data Cleaning and Data Preprocessing Techniques

Exploratory Data Analysis and Statistics

Data Visualization using Python Libraries

Feature Engineering and Data Transformation

Machine Learning Fundamentals

Supervised Machine Learning Algorithms

Unsupervised Learning and Clustering

Model Evaluation and Optimization

Real World Data Science Projects

Data Science Career Guide and Interview Preparation

Linear Regression Algorithm

Beginner Topic 2 of 10

Linear Regression

Linear regression is used to predict continuous numerical values by fitting a line through data points.

python from sklearn.linear_model import LinearRegression model = LinearRegression() model.fit(X,y)

Next Tutorial: Logistic Regression