Welcome to my collection of Machine Learning projects! π€
These projects range from beginner to intermediate level and cover a variety of ML concepts including regression, classification, and data visualization.
Built using Python π, pandas πΌ, scikit-learn π―, and matplotlib π.
- Goal: Predict the price of iPhones based on their version using Linear Regression.
- Tech Used: pandas, matplotlib, scikit-learn
- Model: Simple Linear Regression
- Goal: Capture a selfie automatically when a smile is detected using webcam feed.
- Tech Used: OpenCV, Haar Cascades, datetime
- Model: Haar Cascade Classifiers for Face and Smile Detection
(You can expand this list as your project collection grows!)
- Python 3
- pandas
- numpy
- matplotlib
- scikit-learn
- OpenCV
- Jupyter Notebook (optional)
- Clone the repository:
git clone https://github.com/yourusername/machine-learning-projects.git- Navigate to the folder:
cd machine-learning-projects- (Optional) Create a virtual environment:
python -m venv venv
source venv/bin/activate # or venv\Scripts\activate on Windows- Install dependencies:
pip install -r requirements.txt- π Running a Project
Example for iPhone Price Predictor:
python iphone_price_predictor.pyOr open the .ipynb file in Jupyter Notebook for step-by-step execution.
β Data Preprocessing
β Model Training
β Data Visualization
β Evaluation Metrics
β Real-world Datasets
β Computer Vision Applications
Classification models (e.g., Iris, Titanic)
Clustering (KMeans, DBSCAN)
Neural Networks (basic)
Time Series Forecasting
Contributions are welcome! Feel free to fork this repo, improve the code, and submit a pull request.
Feel free to connect or reach out via LinkedIn or open an issue for any questions.
If you like this project, give it a β and share it! π
Let me know if you want it tailored with your username, LinkedIn, or any specific projects!