analytics

NBA-Machine-Learning-Sports-Betting: AI Betting

Name: NBA-Machine-Learning-Sports-Betting: AI Betting
Author: kyleskom

Predict NBA outcomes with AI for data-driven decisions. For founders in sports analytics, backed by 1.7k+ GitHub stars.

From the repo · “NBA sports betting using machine learning”

1,758 stars+13★ this week571 forksPythonGuide quality 8/10 · reviewed Aug 8Updated 9/12/2026100% free · open source

What it does

This tool uses machine learning to predict NBA game outcomes for informed sports betting decisions

When to use it

•You want to leverage data analysis for NBA game predictions
•You need to identify trends and patterns in NBA team performance
•You are looking to build a data-driven strategy for sports betting

Ready-to-paste prompt

python make_predictions.py --team1 'Los Angeles Lakers' --team2 'Boston Celtics' --date '2024-02-15'

Heads up: Make sure you have the necessary dependencies installed, including pandas, numpy, and scikit-learn, and that your Python version is compatible with the library requirements

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/nba-machine-learning-sports-betting && curl -fsSL https://workflowstacks.com/api/skills/nba-machine-learning-sports-betting/claude-skill -o ~/.claude/skills/nba-machine-learning-sports-betting/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.

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.

top-level files

folders

432.5M

source size

—

license

Key files

config.toml

main.py

README.md

requirements.txt

File tree

Data/

Flask/

Models/

Screenshots/

scripts/

src/

Tests/

.gitignore

ColabNotebook.ipynb

config.toml

main.py

notes.txt

README.md

requirements.txt

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/nba-machine-learning-sports-betting && curl -fsSL https://workflowstacks.com/api/skills/nba-machine-learning-sports-betting/claude-skill -o ~/.claude/skills/nba-machine-learning-sports-betting/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

kyleskom

Language

Python