GitHub / coder5omkar / Simple-Linear-Regression
Linear regression is one of the most fundamental algorithms in machine learning and statistics used for predicting a continuous dependent variable (target) based on one or more independent variables (features). The key idea behind linear regression is to find the relationship between variables by fitting a straight line through the data points.
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Forks: 0
Open issues: 2
License: mit
Language: Jupyter Notebook
Size: 164 KB
Dependencies parsed at: Pending
Created at: 6 months ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: 4 months ago
Topics: data-science, machine-learning, simple-linear-regression, sklearn-library