https://github.com/yashksaini-coder/codsoft
This was a simple virtual internship where i mainly created machine learning models to perform tasks like Classification & Prediction
https://github.com/yashksaini-coder/codsoft
codsoft codsoft-internship codsoftinternship machine-learning machine-learning-algorithms
Last synced: 8 months ago
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This was a simple virtual internship where i mainly created machine learning models to perform tasks like Classification & Prediction
- Host: GitHub
- URL: https://github.com/yashksaini-coder/codsoft
- Owner: yashksaini-coder
- Created: 2024-01-21T16:48:32.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-12T16:40:35.000Z (over 1 year ago)
- Last Synced: 2025-03-25T10:51:18.204Z (9 months ago)
- Topics: codsoft, codsoft-internship, codsoftinternship, machine-learning, machine-learning-algorithms
- Language: Jupyter Notebook
- Homepage:
- Size: 11.3 MB
- Stars: 19
- Watchers: 0
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Welcome to the **Codsoft Internship Data Science Repository**!🌟
Here, you'll find a showcase of my journey and achievements during the internship, featuring hands-on projects that delve into various facets of data science. Dive into the realm of predictive analytics and classification with the following projects:
## Projects
### 1. **Sales Price Prediction using Python** 📈
- **Description:** Explore the power of predictive modeling as I leverage Python to forecast sales prices. Uncover the intricacies of the dataset and witness how advanced algorithms can accurately predict future sales figures.
- **Highlights:**
- Data preprocessing and exploration
- Feature engineering
- Model training and evaluation
- Prediction and visualization
### 2. **Iris Flower Classification with Web App** 🌸
- **Description:** Immerse yourself in the fascinating world of machine learning as I present a web application for Iris flower classification. Witness the seamless integration of data science into a user-friendly interface, demonstrating the practical applications of classification algorithms.
- **Highlights:**
- Dataset analysis and visualization
- Model training and validation
- Web app development using Flask/Streamlit
- Real-time classification and user interface
### 3. **Credit Card Fraud Detection** 💳🔍
- **Description:** Delve into the critical realm of fraud detection in financial transactions. This project showcases my expertise in developing a robust model for identifying and preventing credit card fraud using cutting-edge techniques in data science.
- **Highlights:**
- Data cleaning and preprocessing
- Feature selection and engineering
- Model building and tuning
- Evaluation and deployment
Feel free to explore the code, datasets, and documentation provided in each project. Your feedback and insights are greatly appreciated as I continue to refine and expand my skills in the dynamic field of data science. Happy coding! 🚀📊
## Usage Guide 📚
To get started with the projects in this repository, follow the instructions below:
1. **Clone the Repository:**
- Clone the repository to your local machine using:
```bash
git clone https://github.com/yashksaini-coder/CodSoft
```
2. **Navigate to the Project Directory:**
- Change to the directory of the project you want to explore:
```bash
cd CodSoft
```
3. **Install Dependencies:**
- Install the required dependencies using pip or a virtual environment:
```bash
pip install -r requirements.txt
```
4. **Run the Project:**
- Follow the instructions in the project's README to run the project.
5. **Explore and Modify:**
- Feel free to explore and modify the code to suit your needs. Experiment with different algorithms, tweak parameters, and enhance the projects as you see fit.
## Contribution Guide 🤝
We welcome contributions to improve and expand this repository. To contribute, please follow these steps:
1. **Fork the Repository:**
- Click the [Fork](https://github.com/yashksaini-coder/CodSoft/fork) button on the top right of this repository's page.
2. **Clone the Repository:**
- Clone your forked repository to your local machine using:
```bash
git clone https://github.com/your-username/CodSoft
```
3. **Create a Branch:**
- Create a new branch for your changes:
```bash
git checkout -b feature/your-feature-name
```
4. **Make Changes:**
- Implement your changes and commit them with descriptive messages:
```bash
git add .
git commit -m "Add feature: your-feature-name"
```
5. **Push Changes:**
- Push your changes to your forked repository:
```bash
git push origin feature/your-feature-name
```
6. **Create a Pull Request:**
- Open a pull request from your forked repository's branch to this repository's main branch.
Thank you for visiting the Codsoft Internship Data Science Repository. I hope you find these projects insightful and inspiring. If you have any questions or need assistance, don't hesitate to reach out. Happy coding! 😊