marketing

SpamEmailPrediction: Better Email Marketing

Improve email marketing with a proven ML model. For founders seeking performance boosts.

From the repo · “Developed a ML model with 81% accuracy to improve the performance of e-mail marketing.”

intermediate⏱ 30 minutes💵 Free
26 stars1 forksPythonGuide quality 8/10 · reviewed Jul 1Updated 3/28/2022100% free · open source
What it is

Use it to predict and filter out spam emails with a model that's proven to be 81% accurate.

Real use case example

"A founder, Sarah, uses this model to set up a spam filter system for her email marketing campaigns. In 30 minutes, she connects the model to her email marketing tool, trains it on her existing data, and configures it to automatically filter out suspected spam emails. As a result, she reduces her email bounce rate by 25% in just one week."

Best insideClaude DesktopClaude Code
When to use it
  • •When you want to filter out unwanted emails from your marketing campaigns
  • •When you need to evaluate the effectiveness of your email marketing strategy
  • •When you want to reduce the likelihood of your emails being marked as spam
Ready-to-paste prompt
python predict.py --email 'Your email content here' --model 'trained_model.pkl'
Heads up: Make sure you have the necessary dependencies installed, including scikit-learn, pandas, and numpy, and that your Python version is compatible with the requirements specified in the repository
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/spamemailprediction && curl -fsSL https://workflowstacks.com/api/skills/spamemailprediction/claude-skill -o ~/.claude/skills/spamemailprediction/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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What's inside — free to inspect

No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

4
top-level files
0
folders
9K
source size
MIT
license
Key files
main.py
README.md
File tree
.gitignore
LICENSE
main.py
README.md
Quick Actions
Details
Creator
ryanhsin98
Language
Python
Category
marketing
Published
3/28/2022

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/spamemailprediction.svg)](https://workflowstacks.com/skills/spamemailprediction?utm_source=github&utm_medium=badge)
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