https://github.com/saadarazzaq/one-shot-linear-regression
The Only Must Have Source and Resource You Need, to Learn Univariate Linear Regression 🔥
https://github.com/saadarazzaq/one-shot-linear-regression
python-tutorial simple-linear-regression
Last synced: over 1 year ago
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The Only Must Have Source and Resource You Need, to Learn Univariate Linear Regression 🔥
- Host: GitHub
- URL: https://github.com/saadarazzaq/one-shot-linear-regression
- Owner: SaadARazzaq
- Created: 2023-08-18T20:48:49.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-08-18T21:06:09.000Z (almost 3 years ago)
- Last Synced: 2025-01-23T16:14:31.045Z (over 1 year ago)
- Topics: python-tutorial, simple-linear-regression
- Language: Jupyter Notebook
- Homepage:
- Size: 374 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# One Shot Linear Regression 📈
Welcome to the "One Shot Linear Regression" repository! 🚀 This repository is your gateway to mastering univariate linear regression, a fundamental concept in machine learning and data analysis. Whether you're a beginner eager to learn or an enthusiast looking to solidify your understanding, we're here to make your journey exciting and informative! 🌟
## Introduction 📚
Linear regression is a cornerstone of predictive modeling. In this repository, we dive into the fascinating thing called as **univariate linear regression**, where we predict a target variable using a single input feature. Our mission is clear: demystify linear regression alongside the python code 🐍 to have you know how to implement the concepts as well..
## Getting Started 🏁
1. **Clone this Repository:**
```bash
git clone https://github.com/saadarazzaq/One-Shot-Linear-Regression.git
cd One-Shot-Linear-Regression
2. **Install Essential Dependencies:**
```bash
pip install -r requirements.txt
3. **Fire Up Jupyter Notebook:**
```bash
jupyter notebook
## Intuitions 🧠
Build deep intuitions as you:
- Grasp how the model's w and b affect the line's slope and position.
- Explore the connection between data visualization and model accuracy.
- Get hands-on with predictions and understand how they're derived.
## Contributing 🤝
We encourage contributions! If you have enhancements or additional examples to share, open an issue or submit a pull request.
# Our goal is to make your learning engaging and impactful! Share feedback, suggest improvements, and embark on your learning adventure today!
```bash
Created with ❤️ by Saad