https://github.com/philiptitus/height-prediction
Built an ML model to predict height of a person based on their age.
https://github.com/philiptitus/height-prediction
linear-regression machine-learning machine-learning-algorithms matplotlib numpy sckit-learn supervised-learning
Last synced: 2 months ago
JSON representation
Built an ML model to predict height of a person based on their age.
- Host: GitHub
- URL: https://github.com/philiptitus/height-prediction
- Owner: philiptitus
- Created: 2025-02-06T09:55:31.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-06T10:01:12.000Z (over 1 year ago)
- Last Synced: 2025-02-06T10:35:44.105Z (over 1 year ago)
- Topics: linear-regression, machine-learning, machine-learning-algorithms, matplotlib, numpy, sckit-learn, supervised-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Height Prediction Model
This Jupyter Notebook demonstrates a simple linear regression model to predict height based on age. It includes functions to compute the model output, plot the data, and visualize the model's predictions.
## Contents
- Importing necessary libraries
- Defining the training data
- Plotting the data points
- Computing model output
- Visualizing the results
## Requirements
- Python 3.12.0
- Jupyter Notebook
- numpy
- matplotlib
## How to Run
1. Install the required packages using `pip`:
```sh
pip install -r requirements.txt
```
2. Open the Jupyter Notebook:
```sh
jupyter notebook one.ipynb
```
3. Run the cells in the notebook to see the implementation and results.
## Files
- `one.ipynb`: The main Jupyter Notebook containing the code and explanations.
- `requirements.txt`: List of required Python packages.