Skip to content

Latest commit

 

History

History
76 lines (53 loc) · 2.67 KB

README.md

File metadata and controls

76 lines (53 loc) · 2.67 KB
Raw

Predicta

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.

Predicta

Key Features

1. Exploratory Data Analysis (EDA)

  • 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.

2. Data Preprocessing

  • 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.

3. Machine Learning Modeling

  • 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.

4. Streamlined Workflow

  • 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.

Watch Demo

Installation

To install Predicta, follow these steps:

  1. Clone the repository:

    git clone https://github.com/ahammadnafiz/Predicta.git

  2. Navigate to the project directory:

    cd Predicta

  3. Install dependencies using pip:

    pip install -r requirements.txt

  4. Run Predicta:

    streamlit run predicta.py

Contributing

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.

Roadmap

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.

Contact

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!