MLPipelineProject 0.1.3

A package for EDA with Streamlit dashboard

ML Pipeline

A machine learning pipeline for Exploratory Data Analysis (EDA), data preprocessing, model training, and evaluation. This package helps to quickly analyze datasets, preprocess data, and train models like Random Forest or XGBoost with detailed evaluation metrics.

Features

• Perform EDA and visualize data
• Handle missing values and scale data
• Encode categorical data
• Train Random Forest or XGBoost models
• Evaluate models using F1 score, R², MSE, etc.

Installation

You can install the package via pip:

pip install ml-pipeline