ai-agent

IJCAI18_Tianchi_Rank29: Predict Ad Conversion

Name: IJCAI18_Tianchi_Rank29: Predict Ad Conversion
Author: bettenW

Get ad conversion rate prediction code, built with Jupyter Notebook.

100 stars33 forksJupyter NotebookGuide quality 8/10Updated 7/24/2018100% free · open source

What it does

IJCAI18_Tianchi_Rank29 is a code for predicting ad conversion rates, specifically designed for the IJCAI18-阿里妈妈广告转化率预测 competition, where it achieved a rank of 29

When to use it

•When you need to predict the conversion rate of ads for an e-commerce platform
•When you have a large dataset of ad click and conversion data and want to train a model to predict future conversions
•When you want to participate in a competition or benchmark your model's performance on ad conversion rate prediction

Ready-to-paste prompt

python train.py --data_path ./data --model_name rank29 --epoch 10

Heads up: Make sure you have the required libraries installed, including pandas, numpy, and tensorflow, and that your GPU has sufficient memory to handle the large dataset

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/ijcai18-tianchi-rank29 && curl -fsSL https://workflowstacks.com/api/skills/ijcai18-tianchi-rank29/claude-skill -o ~/.claude/skills/ijcai18-tianchi-rank29/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

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

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/ijcai18-tianchi-rank29 && curl -fsSL https://workflowstacks.com/api/skills/ijcai18-tianchi-rank29/claude-skill -o ~/.claude/skills/ijcai18-tianchi-rank29/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

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

bettenW

Language

Jupyter Notebook