Visual tool to explore variants of Polis-like data pipelines.

Scikit-Learn useful pre-defined Pipelines Hub

The Telco Customer Churn dataset, the project involves collecting, cleaning, and analyzing customer data to uncover key factors influencing churn.

🏡 Built linear regression model to predict house prices in Ames dataset with applied tools such as scikit-learn pipeline

A PyQt6-based GUI application for venomic data analysis, spectral deconvolution, and statistical similarity indexing of neogastropod peptidomes. Uses a Sequential Analysis Pipeline (SAP)-structured, classical ML algorithm built with sklearn modules as its backend for the actual computational engine.

A detailed analysis of an insurance cost dataset with all the transformation, model training, pipeline and then applying thresholds to classify "High Cost" patients & Optimizing Our Model.

Demo for "Pandas In, Pandas Out" scheme based scikit-learn pipeline.

additional wrapper and classes for sklearn's pipeline API

A project predicting housing prices using the California Housing Dataset with Linear Regression, featuring data preprocessing pipelines, model training, and future prediction capabilities.

Demand Forecasting with Quantile Regression Forest

An end to end machine learning prediction for rossamann store problem

Enhancement of SKLearn Pipeline

Classifying Sports Personalities

[COMMUNITY] — Spatial Join & Enrich any urban layer given any external urban dataset of interest, streamline your urban analysis with Scikit-Learn-Like pipelines, and share your insights with the urban research community!