327290_327304_327308_327311 project2

projects/project2/327290_327304_327308_327311/README.md

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+# AutoPrep: Preprocessing perfected, Machine Learning simplified 🚀
+
+## 👩‍💻 Authors
+[Julia Kruk](https://github.com/krukj), [Paweł Pozorski](https://github.com/Pawlo77), [Kasia Rogalska](https://github.com/Katarzynarogalska) & [Gaspar Sekula](https://github.com/GasparSekula)
+
+## 📥 Repository
+[AutoPrep Github](https://github.com/Pawlo77/AutoPrep)
+
+## 📚 Documentation
+[AutoPrep Documentation](https://pawlo77.github.io/AutoPrep/)Documentation
+[AutoPrep Documentation](https://pawlo77.github.io/AutoPrep/)
+
+## 🐍 PyPI 
+[AutoPrep Package Webpage](https://pypi.org/project/auto-prep/)
+
+## 🎯 Objective
+The goal of **AutoPrep** is to provide users with a fully-automated machine learning package that handles most tasks for them. By emphasizing the significance of preprocessing in ML tasks, AutoPrep ensures a seamless, user-friendly experience for working with tabular data. 
+
+### Key Features:
+- Extensive preprocessing using **3000+ pipelines**.
+- Automatic task recognition: regression, binary classification, or multiclass classification.
+- Hyperparameter tuning and robust modeling.
+- Explainable AI with **Shapley Plots**.
+- Detailed LaTeX reporting (~20 pages) covering:
+  - Dataset overview 📊
+  - Exploratory Data Analysis 📈
+  - Preprocessing, hyperparameter tuning, and modeling details ⚙️
+  - Interpretations of the best model with Shapley Plots 🔍.
+
+## 🛠 Specifications
+- **Input**: Tabular data.
+- **User-defined Target**: Specify the target column and let AutoPrep handle the rest.
+- **Output**:
+  - A trained ML model optimized for the chosen metric.
+  - A professional LaTeX report for analysis and sharing.
+
+## 📂 Resources
+- 📄 **Presentation**: [slides.pdf](./slides.pdf)
+- 📖 **Guide and Full Description**: [walkthrough.ipynb](./walkthrough.ipynb) (also available online: [see walkthrough notebook](https://github.com/Pawlo77/AutoPrep/tree/main/examples/walkthrough/walkthrough.ipynb))
+- 📜 **Example Report**: [report.pdf](./report.pdf)
+
+## 🌟 Why Choose AutoPrep?
+- Save time with **automated preprocessing**.
+- Gain deep insights with **detailed LaTeX reports**.
+- Ensure transparency with **explainable AI** tools.
+- Benefit from cutting-edge automation with a focus on usually neglected preprocessing steps.
+
+
+---
+🌟 **AutoPrep: Preprocessing perfected, Machine Learning simplified!**