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https://github.com/shriharsh-deshmukh/100-days-100-models
100 Days 100 Models is a curated collection of 100 machine learning projects, each demonstrating the training and evaluation of models on diverse datasets. This repository is designed to showcase a wide range of machine learning algorithms, datasets, and techniques, providing practical examples for learners and practitioners alike.
https://github.com/shriharsh-deshmukh/100-days-100-models
artificial-intelligence data-science machine-learning
Last synced: 18 days ago
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100 Days 100 Models is a curated collection of 100 machine learning projects, each demonstrating the training and evaluation of models on diverse datasets. This repository is designed to showcase a wide range of machine learning algorithms, datasets, and techniques, providing practical examples for learners and practitioners alike.
- Host: GitHub
- URL: https://github.com/shriharsh-deshmukh/100-days-100-models
- Owner: Shriharsh-Deshmukh
- License: mit
- Created: 2024-11-28T17:47:28.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2024-11-29T07:56:26.000Z (about 1 month ago)
- Last Synced: 2024-11-29T08:35:37.255Z (about 1 month ago)
- Topics: artificial-intelligence, data-science, machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 17.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 100 Days 100 Models
**100 Days 100 Models** is a curated collection of 100 machine learning projects, each demonstrating the training and evaluation of models on diverse datasets. This repository is designed to showcase a wide range of machine learning algorithms, datasets, and techniques, providing practical, hands-on examples for learners and practitioners alike.
You can explore individual projects interactively through Google Colab.
---
## File Naming Convention
Each project file follows the format:
`(Pr-1)Delaney_Lr&Rf.ipynb`
- **Project Record No.**: 1
- **Dataset**: `Delaney_solubility_with_descriptors.csv`
- **Algorithms**: Linear Regression (`Lr`) and Random Forest (`Rf`)
---
## Contributing
🎉 **Contributions are welcome!** If you'd like to add new models, improve existing ones, or provide additional documentation, follow these steps:
1. **Fork the repository.**
2. **Create your feature branch**:
```bash
git checkout -b feature/your-feature-name
```
3. **Commit your changes**:
```bash
git commit -m "Add your message here"
```
4. **Push to the branch**:
```bash
git push origin feature/your-feature-name
```
5. **Open a pull request.**
Your contributions help make this project better for everyone. Thank you!
---
## License
This repository is licensed under the **MIT License**. See the [LICENSE](LICENSE) file for details.
---
## Cloning the Repository
To clone this repository to your local machine, use the following command:
```bash
git clone https://github.com/Shriharsh-Deshmukh/100-Days-100-Models.git
```
After cloning, you can navigate to individual project files and start exploring the models.
---
# Index:
### **Project Record:** 1
- **Dataset:** delaney_solubility_with_descriptors.csv
- **Algorithms:** Linear Regression & Random Forest
### **Project Record:** 2
- **Dataset:** olympic_teams.csv
- **Algorithms:** Linear Regression
### **Project Record:** 3
- **Dataset:** patients_data.csv
- **Algorithms:** Neural Network Engineering (Ai)
### **Project Record:** 4
- **Dataset:** iris.csv
- **Algorithms:** Linear Discriminant Analysis and Quadratic Discriminant Analysis
### **Project Record:** 5
- **Dataset:** synthetic (generated)
- **Algorithms:** Kernel Ridge Regression
### **Project Record:** 6
- **Dataset:** iris.csv
- **Algorithms:** Support Vector Machines (SVM)
### **Project Record:** 7
- **Dataset:** diabetes.csv
- **Algorithms:** Stochastic Gradient Descent (SGD)