Lead-Scoring-Case-Study
-
Updated
Apr 29, 2023 - Jupyter Notebook
#
lead-score
Here are 3 public repositories matching this topic...
Machine learning lead scoring system that classifies sales inquiries into Hot, Warm, Cold, Save for Later, or Reject using CatBoost and business-driven features.
data-science machine-learning business-intelligence data-analysis business-analytics catboost optuna lead-score
-
Updated
Apr 2, 2026 - Jupyter Notebook
Python SDK for the Yelp Business Analyzer Apify actor — 40+ enrichment fields: ratings, hours with timezone-aware is-open-now, 50+ tech stack platforms, real emails (CloudFlare decoder), phones (E.164), 7 social profiles, JSON-LD, lead score 0-100, industry outreach pitches and one-click outreach links. Sales-ops ready. $0.003/business.
yelp python-sdk yelp-api lead-generation apify yelp-scraper lead-score apify-actor popularity-score outreach-automation sales-intelligence crm-enrichment yelp-business-analyzer yelp-tech-stack yelp-fusion-alternative yelp-without-api-key is-open-now-api chain-detection yelp-leads yelp-emails
-
Updated
May 23, 2026 - Python
Improve this page
Add a description, image, and links to the lead-score topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the lead-score topic, visit your repo's landing page and select "manage topics."