analytics

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

Predict NBA outcomes with AI for data-driven decisions.
1,683 stars568 forksPythonGuide quality 8/10Updated 1/9/2026100% 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.

Quick Actions
Details
Creator
kyleskom
Language
Python
Category
analytics
Published
11/29/2019

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