Influencer-Impact-and-Marketing-Sales-Modeling-and-Analysis Cyberoctane29 · COMPLETED
This project analyzes influencer marketing and promotional budgets' impact on sales using ML and statistical modeling in Python. It includes EDA, data cleaning, and simple and multiple linear regression. Key libraries include pandas, NumPy, statsmodels, Seaborn, and Matplotlib. Insights help optimize marketing strategies and resource allocation.
github.com/Cyberoctane29/Influencer-Impact-and-Marketing-Sales-Modeling-and-Analysis · ★ 0 · Forks 0 · Size 14.1 MB
SUMMARY
Technologies 1
Scored 1
Observed 1
Practices 6
Evidence 1
Skips 0
COVERAGE
Analyzed 4 files · 23 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-03-24
Last commit 2025-03-29
Active months 1
Commits 23