GitHub / Muhammad-Sheraz-ds / Predicting-Insurance-Claim
In this comprehensive machine learning project, I executed the entire machine learning life cycle. Designed a streamlined and visually appealing interface using Streamlit. Ensuring a user-friendly experience for individuals to input their relevant information effortlessly. Handed off well-documented and easily modifiable code.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Muhammad-Sheraz-ds%2FPredicting-Insurance-Claim
PURL: pkg:github/Muhammad-Sheraz-ds/Predicting-Insurance-Claim
Stars: 3
Forks: 1
Open issues: 1
License: mit
Language: Jupyter Notebook
Size: 74.3 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 7 months ago
Pushed at: 7 months ago
Last synced at: 7 months ago
Topics: crossvalidation, datapreprocessing, datavisual, depoloyment, evaluation-metrics, exploratory-data-analysis, feature-engineering, feature-selection, matplotlib, numpy, pandas, regression-models, seaborn, skit-learn, sklearn, streamlit-webapp