ibrahim-dataprep 0.2.1

Autonomous Data Science Assistant for Instant Data Preparation.

DataPrep AI 🤖

Autonomous Data Science Assistant for Instant Data Preparation.

DataPrep AI is a CLI tool designed to transform raw, messy datasets into clean, ML-ready data with a single command. It automatically handles missing values, encodes categories, normalizes features, and detects anomalies.

🚀 Key Features

• Autonomous Cleaning: Smart handling of missing values (mean/median/mode) and duplicate removal.
• Intelligent Encoding: Automated One-Hot and Label encoding based on feature cardinality.
• Goal-Oriented Prep: Optimization for prediction, classification, or analysis.
• Date Parsing: Automatically detects and transforms date-like strings to datetime objects.
• Deep Learning Support: Interactively build neural networks with custom activations (ReLU, Sigmoid, etc.).
• Modern CLI: Beautiful, colorized logs and progress indicators.

📦 Installation

pip install ibrahim-dataprep

🛠 Usage

Auto Clean

Analyze and clean a dataset with one command:

dataprep auto your_data.csv

Goal-Specific Preparation

Prepare data specifically for machine learning:

dataprep auto your_data.csv --goal prediction

Custom Fixes (Experimental)

Interact with your data using natural language:

dataprep fix "fix the missing values in this file" your_data.csv

Deep Learning Builder

Build a neural network model interactively:

dataprep dl build

This will prompt you for the number of layers, neurons per layer, and activation functions (ReLU, Sigmoid, Tanh, Softmax).

📄 License

MIT License. See LICENSE for details.