Predicta is an end-to-end data analysis and machine learning tool that simplifies and optimises your data science workflows. From exploratory data analysis (EDA) to data preprocessing and modelling, Predicta offers a comprehensive platform for efficient predictive analytics.
- Visualize and explore your dataset using interactive charts and plots.
- Identify patterns, distributions, and relationships within your data.
- Detect missing values, outliers, and potential data issues.
- Clean and preprocess your data seamlessly with built-in preprocessing functionalities.
- Handle missing data through imputation or removal strategies.
- Encode categorical variables and scale numerical features.
- Choose from a range of machine learning algorithms for regression, classification, and clustering tasks.
- Optimize model hyperparameters using automated techniques.
- Evaluate model performance using cross-validation and various metrics.
- Intuitive user interface guiding you through each step of the data analysis and modelling process.
- Automated feature engineering and selection to enhance model performance.
- Easy deployment of trained models for making predictions on new data.
To install Predicta, follow these steps:
-
Clone the repository:
git clone https://github.com/ahammadnafiz/Predicta.git
-
Navigate to the project directory:
cd Predicta
-
Install dependencies using pip:
pip install -r requirements.txt
-
Run Predicta:
streamlit run predicta.py
We welcome contributions to Predicta! Here's how you can contribute:
- Open a GitHub issue to report bugs or suggest new features.
- Submit a pull request with enhancements or fixes.
- Share your experiences and ideas with us.
Our roadmap for Predicta includes the following upcoming features and improvements:
- Integration with additional machine learning algorithms and libraries.
- Enhanced visualization capabilities for EDA.
- Support for big data processing and distributed computing.
For any inquiries or support related to Predicta, please contact us at [email protected]
Thank you for exploring Predicta! We hope this tool simplifies your data analysis and machine learning tasks. Please feel free to reach out with any questions or feedback. Happy modelling!