# Ethereum Intro

- [Intro to Ethereum](https://ethereum.org/en/developers/docs/intro-to-ethereum/)
- [Solidity, Blockchain, and Smart Contract Course – Beginner to Expert Python Tutorial](https://youtu.be/M576WGiDBdQ)

# Additional Data Sources

- [Luabase](https://luabase.com) - Query blockchain data with SQL and request data in real-time via an API.
- [Etherscan API](https://etherscan.io/apis) - Data from Etherscan's Ethereum (ETH) Block Explorer
- [Ethplorer API](https://github.com/EverexIO/Ethplorer/wiki/Ethplorer-API) - Query information about Ethereum tokens, balances, addresses, history of transactions, contracts, and more.
- [BigQuery Public Blockchain Datasets](https://github.com/blockchain-etl/public-datasets) - Available to query using BigQuery on Google Cloud Platform.

# Phishing Detection Academic Research

- [Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding](https://arxiv.org/abs/1911.09259)
- [Phishing Scam Detection on Ethereum: Towards Financial Security for
Blockchain Ecosystem](https://www.ijcai.org/proceedings/2020/0621.pdf)

## Notebooks and Tutorials

- [Benchmark model: Easy Ensemble with One-order neighbor features](https://www.kaggle.com/code/mgw917/benchmark-model-easyensemble)
- [How to tell if an address is a smart contract or an EOA?](https://web3py.readthedocs.io/en/stable/web3.eth.html#web3.eth.Eth.get_code)

# More about Forta

- [Forta Docs](https://docs.forta.network/en/latest/)
- [Doc: Data Science and Machine Learning on Forta](https://docs.forta.network/en/latest/ds-and-ml/)
- [Blog: Three Ways Machine Learning Can Detect Web3 Security Threats](https://forta.org/blog/three-ways-machine-learning-can-detect-web3-security-threats/)