ai-agent

Recommendation-systems: Build ML Models

Name: Recommendation-systems: Build ML Models
Author: piyushpathak03

Get recommendation system tools for startup founders using machine learning and deep learning techniques on GitHub.

217 stars57 forksJupyter NotebookGuide quality 8/10Updated 7/13/2024100% free · open source

What it does

This tool helps build recommendation systems using machine learning and deep learning techniques, allowing startup founders to suggest relevant products or content to users based on their behavior and preferences.

When to use it

•When you have a large user base and want to personalize their experience with relevant product recommendations
•When you need to analyze user behavior and preferences to inform product development or marketing strategies
•When you want to increase user engagement and conversion rates through targeted suggestions

Ready-to-paste prompt

Run the `lightfm` example code in the `08-Model-Matrix-Factorization` notebook to build a hybrid recommendation system: `from lightfm import LightFM; model = LightFM(loss='warp'); model.fit()`

Heads up: Make sure you have the required Python libraries installed, including `numpy`, `pandas`, `scikit-learn`, and `lightfm`, as well as a compatible version of TensorFlow or PyTorch for deep learning models

Saves to your device

Use with Claude

New

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

⚡ Runs out of the box

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/recommendation-systems && curl -fsSL https://workflowstacks.com/api/skills/recommendation-systems/claude-skill -o ~/.claude/skills/recommendation-systems/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.

How Recommendation-systems: Build ML Models works

Codeflow

Free to inspect

Recommendation-systems: Build ML Models is a documents-only repository (1 doc file) — something you read, not something you run. There is nothing to install. Last commit 26 months ago, GPL-3.0 license.

Size

Documents only

1 document · 2 min skim

Setup

Nothing to install

A course / notebook collection. Read it; run cells if you like.

Runs on

Nowhere — you read it

A reading resource, not a program.

Jupyter Notebook 100%

Where to start reading

1
README.md
Start here — what it does and how to install it

What's in each folder

Recomendation system end to end/data/Data files25 files

Recommendation Engine/Folder10 files

data/Data files2 files

Recomendation system end to end/img/Images & static assets29 files

READMEGPL-3.0 licenseLast update 26 mo ago

Use with Claude

New

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

⚡ Runs out of the box

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/recommendation-systems && curl -fsSL https://workflowstacks.com/api/skills/recommendation-systems/claude-skill -o ~/.claude/skills/recommendation-systems/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

piyushpathak03

Language

Jupyter Notebook