# kaggle-lead-scoring-v3-data-analysis-modeling-and-cloud-deployment

> kaggle-lead-scoring-v3-data-analysis-modeling-and-cloud-deployment — denis911-kaggle-lead-scoring-v3-data-analysis-modeling-and-cloud-deployment. Use this tool when you need to analyze and model lead scoring data, particularly with Kaggle datasets, to predict and optimize conversion rates. It solves problems related to data-driven decision making, customer acquisition, and marketing strategy optimization. The tool takes in datasets and outputs predictive models, deployable on cloud platforms, utilizing skills in data analysis, machine learning, and version control with git.

Canonical page: https://skillsregistry.net/skills/denis911-kaggle-lead-scoring-v3-data-analysis-modeling-and-cloud-deployment  
JSON: https://api.skillsregistry.net/v1/skills/denis911-kaggle-lead-scoring-v3-data-analysis-modeling-and-cloud-deployment

## Description

My third project on data analysis using Kaggle dataset, antigravity, MCPs and antigravity skills

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/denis911/kaggle-lead-scoring-v3-data-analysis-modeling-and-cloud-deployment)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "denis911-kaggle-lead-scoring-v3-data-analysis-modeling-and-cloud-deployment"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/denis911-kaggle-lead-scoring-v3-data-analysis-modeling-and-cloud-deployment` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/denis911-kaggle-lead-scoring-v3-data-analysis-modeling-and-cloud-deployment/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt