https://github.com/tahir1072a/multiple_lineer_regression_model
This code is a multiple linear model created using data provided by Kaggle.
https://github.com/tahir1072a/multiple_lineer_regression_model
ai-model lineer-regresyon machine-learning multi-feature-linear-regression python
Last synced: 8 months ago
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This code is a multiple linear model created using data provided by Kaggle.
- Host: GitHub
- URL: https://github.com/tahir1072a/multiple_lineer_regression_model
- Owner: Tahir1072a
- License: mit
- Created: 2024-10-27T08:16:39.000Z (12 months ago)
- Default Branch: master
- Last Pushed: 2024-10-27T08:29:37.000Z (12 months ago)
- Last Synced: 2025-01-06T20:39:37.349Z (9 months ago)
- Topics: ai-model, lineer-regresyon, machine-learning, multi-feature-linear-regression, python
- Language: Python
- Homepage:
- Size: 79.1 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Multiple_Lineer_Regression_Model
> **Description**: This code is a multiple linear model created using data provided by Kaggle.
>
This model, which I created for educational purposes, is based on predicting students' exam scores based on certain features. The code is written cleanly and descriptively. The libraries *Matplotlib, Numpy, Pandas, and Scikit-learn* were used for testing. The relevant data was tested both with the ready-made **gradient_descent** function provided by Scikit-learn and with custom functions I wrote.
Türkçe:
Eğitim amacı ile yapmış olduğum bu model, öğrencilerin belli özelliklerine göre alacakları sınav skorunu tahmin etmesine dayanır. Kod temiz ve açıklayıcı yazılmıştır. Matplotlib, Numpy, Pandas ve test için stick-learn kütüphanesi kullanılmıştır. İlgili veriler bu kütüphane tarafından sağlana hazır gradient_descent fonksiyonu ile hem de kendi yazdığım fonksiyonlar ile test edilmiştir.
Kaggle Data Set: https://www.kaggle.com/datasets/idowuadamo/students-performance-in-2024-jamb