gpsyrou/Binary_Classification_of_Bank_Marketing_Campaigns
View on GitHubExploratory data analysis (EDA) and development of classification algorithms (Logistic Regression, Random Forest) to predict clients that are most likely to subscribe to a bank's product, as a result of marketing campaigns.
- Stars
- 0
- Forks
- 0
- Open beginner issues
- 0
- Indexed issues
- 3
- Dominant language
- Jupyter Notebook
- License
- No license data
- Last GitHub push
- Dec 1, 2024
- Latest indexed
- Sep 17, 2026
- Contributing guide
- No contributing guide
- Code of conduct
- No code of conduct
- Beginner labels
- good first issue
- PR merge metrics
- No merged PRs in 30d
-
enhancement good first issue
gpsyrou/Binary_Classification_of_Bank_Marketing_Campaigns#6 · 0 comments · 0 reactions · 1 assignee ·
-
enhancement
gpsyrou/Binary_Classification_of_Bank_Marketing_Campaigns#7 · 0 comments · 0 reactions · 1 assignee ·
-
bug
gpsyrou/Binary_Classification_of_Bank_Marketing_Campaigns#8 · 0 comments · 0 reactions · 1 assignee ·