anmolg1997/Lead-Scoring
Logistic regression model that assigns lead scores (0-100) to predict conversion likelihood, improving sales targeting from 30% to 80% conversion rate.
Stars
1
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 21, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/anmolg1997/Lead-Scoring"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Bharat-Reddy/Bank-Marketing-Analysis
The data is related with direct marketing campaigns (phone calls) of a Portuguese banking...
thebitanpaul/Bankpartner-android-app-java
A Machine Learning based dynamic app that helps the bank authority to determine whether their...
ashutosh-ranjan2611/DSI-Cohort8-ML-2
Predicting bank term deposit subscribers on UCI Bank Marketing data (41K rows).
yousefelsonbaty/MLBankMarketingPrediction
MATLAB was used to compare different machine learning techniques to a provided dataset to...
gublit/TD-Predictor
This repository contains a Streamlit web application for predicting term deposit subscriptions...