Topic: "univariate-linear-regression"
rtimbro185/syr_mads_scm651_business_analytics
Syracuse University, Masters of Applied Data Science -SCM 651 Business Analytics
Size: 22.1 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0
gxstxxv/Univariate-Linear-Regression
A simple implementation of univariate linear regression using gradient descent, built with NumPy and Matplotlib.
Language: Python - Size: 275 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
kul-arun/univariate-linear-regression
Create a simple, univariate linear regression model that predicts the salary from a person's experience (measured in years), using the gradiant descent algorithm.
Language: Jupyter Notebook - Size: 129 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
mixed-farming/Univariate-Linear-Regression
Implementing the gradient descent algorithm from scratch to perform univariate linear regression.
Language: Jupyter Notebook - Size: 333 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1
mehboobali98/Univariate-Linear-Regression
Linear Regression is implemented to identify the relationship between the profit of a bakery and the population of different cities. The main objective is to find the next city in which a new outlet should be opened.
Language: Jupyter Notebook - Size: 313 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
farkoo/Uni-Multi-Linear-Regression
In this notebook, we want to create a machine learning model from scratch to predict car prices using independent variables.
Language: Jupyter Notebook - Size: 323 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
