https://github.com/shuygena/linear_regression
:arrow_lower_right: Basic machine learning algorithm
https://github.com/shuygena/linear_regression
42 42projects gradient-descent linear-regression machine-learning
Last synced: 3 months ago
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:arrow_lower_right: Basic machine learning algorithm
- Host: GitHub
- URL: https://github.com/shuygena/linear_regression
- Owner: shuygena
- Created: 2022-08-31T11:40:42.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-09-25T13:01:25.000Z (over 2 years ago)
- Last Synced: 2025-01-17T02:22:52.319Z (5 months ago)
- Topics: 42, 42projects, gradient-descent, linear-regression, machine-learning
- Language: Python
- Homepage:
- Size: 1.26 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# linear_regression
The aim of this project is introdution to the basic concept behind machine learning.
Program predicts the price of a car by using a linear function train with a gradient descent algorithm.
## :mortar_board: Tutorial
[Look at my own wiki-guide (Ru)](https://github.com/shuygena/linear_regression/wiki)
## :toolbox: Requirements:
I used python 3 
and pip installer.
## :link: Download & Install requirements
Clone repository:
```
git clone https://github.com/shuygena/linear_regression lin_reg
```
Go to directory:
```
cd lin_reg
```
Install requirments:
```
pip install -r requirements.txt
```
## :pager: How to use
For predict run:
```
python3 predict.py
```
> Price will 0 before training.
For train the model run:
```
python3 training_model.py
```
## :clipboard: Task
The task is available in the [subject (En)](https://github.com/shuygena/linear_regression/blob/main/en.subject.pdf)