benesh-code Goto Github PK

ai_supply_chain

This is the code for "AI for Supply Chain" by Siraj Raval on Youtube

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

articles-bookmarked

audio-segmentation-by-classification-tutorial

A jupyter notebook for audio segmentation tutorial and demo

awesome-flask

A curated list of awesome things related to Flask

awesome-image-classification

A curated list of deep learning image classification papers and codes

aws-certified-cloud-practitioner-notes

AWS Certified Cloud Practitioner Notes

aws-cloud-practitioner-prep

Prepare to get certified as an AWS Cloud Practitioner

ben

myfirstproject

capstone1

trying to predict price trend of Ethereum using, ARMA, SARIMAX, MLP and LSTM.

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

cookbook

The Data Engineering Cookbook

datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

depression-detect

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

ethereum-etl

Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ

ethereumanalysis

DATASET OVERVIEW Ethereum is a blockchain based distributed computing platform where users may exchange currency (Ether), provide or purchase services (smart contracts), mint their own coinage (tokens), as well as other applications. The Ethereum network is fully decentralised, managed by public-key cryptography, peer-to-peer networking, and proof-of-work to process/verify transactions. Whilst you would normally need a CLI tool such as GETH to access the Ethereum blockchain, recent tools allow scraping all block/transactions and dump these to csv's to be processed in bulk; notably Ethereum-ETL. These dumps are uploaded daily into a repository on Google BigQuery. We have used this source as the dataset for this coursework. A subset of the data available on BigQuery is provided at the HDFS folder /data/ethereum. The blocks, contracts and transactions tables have been pulled down and been stripped of unneeded fields to reduce their size. We have also downloaded a set of scams, both active and inactive, run on the Ethereum network via etherscamDB which is available on HDFS at /data/ethereum/scams.json. DATASET SCHEMA - BLOCKS number: The block number hash: Hash of the block miner: The address of the beneficiary to whom the mining rewards were given difficulty: Integer of the difficulty for this block size: The size of this block in bytes gas_limit: The maximum gas allowed in this block gas_used: The total used gas by all transactions in this block timestamp: The timestamp for when the block was collated transaction_count: The number of transactions in the block +-------+--------------------+--------------------+----------------+-----+---------+--------+----------+-----------------+ | number| hash| miner| difficulty| size|gas_limit|gas_used| timestamp|transaction_count| +-------+--------------------+--------------------+----------------+-----+---------+--------+----------+-----------------+ |4776199|0x9172600443ac88e...|0x5a0b54d5dc17e0a...|1765656009004680| 9773| 7995996| 2042230|1513937536| 62| |4776200|0x1fb1d4a2f5d2a61...|0xea674fdde714fd9...|1765656009037448|15532| 8000029| 4385719|1513937547| 101| |4776201|0xe633b6dca01d085...|0x829bd824b016326...|1765656009070216|14033| 8000000| 7992282|1513937564| 99| |4776202|0x2ec4b8235923a59...|0x52bc44d5378309e...|1765656009102984|29386| 8000029| 7851362|1513937573| 238| |4776203|0x41f604b680e98d9...|0xea674fdde714fd9...|1765656009135752|28954| 8000029| 7608807|1513937582| 218| |4776204|0x5cbbf6a7d477d8e...|0x52bc44d5378309e...|1766518145891730|21030| 8000029| 7851625|1513937587| 168| |4776205|0xbfc7b7c3e60871d...|0x5a0b54d5dc17e0a...|1767380703612921|14168| 7992222| 7835129|1513937591| 103| |4776206|0x753989a3805ef53...|0xea674fdde714fd9...|1765654745927319|29125| 7999992| 7989266|1513937624| 217| |4776207|0x6f05105a6f8bc79...|0x829bd824b016326...|1767379018172905|27294| 8003884| 7996284|1513937632| 199| |4776208|0x0f4a563b90f8dfe...|0xea674fdde714fd9...|1768241996241890|17090| 8000029| 7981114|1513937636| 67| |4776209|0x5d62c54adb1cf9f...|0x829bd824b016326...|1769105395686885|31756| 8003909| 7999420|1513937646| 152| |4776210|0x61f378b94ee93e5...|0xea674fdde714fd9...|1769105395719653|17215| 8000029| 4861724|1513937661| 93| |4776211|0xaf0bd62dbb54a5f...|0xb2930b35844a230...|1769969216746424|22572| 8000029| 7980777|1513937667| 107| |4776212|0xc378e5b0cb56015...|0x6a7a43be33ba930...|1766512245652736|32834| 8000029| 7981744|1513937718| 194| |4776213|0x70a7e0f71e4ae02...|0xea674fdde714fd9...|1763924581263163|37277| 8000029| 7992002|1513937761| 255| |4776214|0xfb19cfa052d0f9f...|0xea674fdde714fd9...|1764785872595375|13740| 8000029| 4704474|1513937763| 72| |4776215|0x2d127b5cbc681c0...|0xb75d1e62b10e4ba...|1765647584479996|26482| 7992222| 6630351|1513937767| 163| |4776216|0xc4e242278d153b5...|0xb2930b35844a230...|1766509717122373|18248| 7984452| 7965327|1513937774| 76| |4776217|0xde24c6f461a79da...|0x829bd824b016326...|1765647163582328|31649| 7992248| 7986059|1513937796| 180| |4776218|0x1689f0d2ea89886...|0xea674fdde714fd9...|1767371428423280|25953| 8000029| 7415731|1513937802| 146| DATASET SCHEMA - TRANSACTIONS block_number: Block number where this transaction was in from_address: Address of the sender to_address: Address of the receiver. null when it is a contract creation transaction value: Value transferred in Wei (the smallest denomination of ether) gas: Gas provided by the sender gas_price : Gas price provided by the sender in Wei block_timestamp: Timestamp the associated block was registered at (effectively timestamp of the transaction) +------------+--------------------+--------------------+-------------------+------+-----------+---------------+ |block_number| from_address| to_address| value| gas| gas_price|block_timestamp| +------------+--------------------+--------------------+-------------------+------+-----------+---------------+ | 6638809|0x0b6081d38878616...|0x412270b1f0f3884...| 240648550000000000| 21000| 5000000000| 1541290680| | 6638809|0xb43febf2e6c49f3...|0x9eec65e5b998db6...| 0| 60000| 5000000000| 1541290680| | 6638809|0x564860b05cab055...|0x73850f079ceaba2...| 0|200200| 5000000000| 1541290680| | 6638809|0x8e5bb92b98c0cf4...|0x9eec65e5b998db6...| 0| 60000| 5000000000| 1541290680| | 6638809|0x6908856f565e5b6...|0x9eec65e5b998db6...| 0| 60000| 5000000000| 1541290680| | 6638809|0x00cdc153aa8894d...|0x8d5a0a7c555602f...| 984699000000000000|940000| 5000000000| 1541290680| | 6638809|0x71e5e2114561d30...|0xe36df5bb57e8062...| 0| 60000| 5000000000| 1541290680| | 6638809|0x9cbbc2c728863d9...|0x9eec65e5b998db6...| 0| 60000| 5000000000| 1541290680| | 6638809|0x33ca0295811747f...|0x9eec65e5b998db6...| 0| 60000| 5000000000| 1541290680| | 6638809|0xbcf32771090aecb...|0x32623916bd5e735...| 257315840000000000| 21000| 5000000000| 1541290680| | 6638809|0xc21a44550926c9a...|0x9eec65e5b998db6...| 0| 60000| 5000000000| 1541290680| | 6638809|0x405353c90852e9c...|0x9eec65e5b998db6...| 0| 60000| 5000000000| 1541290680| | 6638810|0xeee28d484628d41...|0x8dd5fbce2f6a956...| 0| 90000|64000000000| 1541290720| | 6638810|0x96f9706e01caba2...|0x490c95be16384e1...| 0| 37804|50100000000| 1541290720| | 6638810|0xca83c8e5ff93fa0...|0x5bc8854dd4a7d5b...|2292738000000000000| 21000|41000000000| 1541290720| | 6638810|0xf73c3c65bde10bf...|0x13e8640a2f06ef1...|1000000000000000000|400000|40000000000| 1541290720| | 6638810|0x2cefcf6a903d863...|0xd9c8ae68aa8ff1f...| 0|200000|33000000000| 1541290720| | 6638810|0x521db06bf657ed1...| null| 0|210000|32608136662| 1541290720| | 6638810|0x3f5ce5fbfe3e9af...|0xdf2c7238198ad8b...| 0| 75138|30000000000| 1541290720| | 6638810|0x3f5ce5fbfe3e9af...|0xdf2c7238198ad8b...| 0| 75138|30000000000| 1541290720| DATASET SCHEMA - CONTRACTS address: Address of the contract is_erc20: Whether this contract is an ERC20 contract is_erc721: Whether this contract is an ERC721 contract block_number: Block number where this contract was created +--------------------+--------+---------+------------+--------------------+ | address|is_erc20|is_erc721|block_number| block_timestamp| +--------------------+--------+---------+------------+--------------------+ |0x9a78bba29a2633b...| false| false| 8623545|2019-09-26 08:50:...| |0x85aa7fbc06e3f95...| false| false| 8621323|2019-09-26 00:29:...| |0xc3649f1e59705f2...| false| false| 8621325|2019-09-26 00:29:...| |0x763fe69be6c6ec1...| false| false| 8621263|2019-09-26 00:16:...| |0xcd05b1405efa69f...| false| false| 8621206|2019-09-26 00:05:...| |0xdeb220a2403e653...| false| false| 5363203|2018-04-01 21:23:...| |0x0de0e9971ad93b3...| false| false| 5359109|2018-04-01 05:10:...| |0x58c38ad83417e7b...| false| false| 5362728|2018-04-01 19:37:...| |0xadce4fe9b3c2ed0...| false| false| 5362995|2018-04-01 20:39:...| |0x6fe77efba17afa5...| false| false| 5363518|2018-04-01 22:49:...| |0x391db5cb42e918b...| false| false| 5359958|2018-04-01 08:35:...| |0x61d0e4402996bd3...| false| false| 5358721|2018-04-01 03:37:...| |0x356db362d67e065...| false| false| 5359534|2018-04-01 06:56:...| |0x80c676fbba74643...| false| false| 5363162|2018-04-01 21:12:...| |0x2f73ea1b261dfa7...| false| false| 5358309|2018-04-01 02:04:...| |0x8bdb0567c9db489...| false| false| 5359093|2018-04-01 05:05:...| |0x128e9904959629d...| false| false| 5357919|2018-04-01 00:30:...| |0x1d601b70f3d8489...| false| false| 8377968|2019-08-19 01:43:...| |0xc0ce6542be0df27...| false| false| 8378020|2019-08-19 01:54:...| |0xdb98e880a574766...| false| false| 8380961|2019-08-19 13:01:...| DATASET SCHEMA - SCAMS.JSON id: Unique ID for the reported scam name: Name of the Scam url: Hosting URL coin: Currency the scam is attempting to gain category: Category of scam - Phishing, Ransomware, Trust Trade, etc. subcategory: Subdivisions of Category description: Description of the scam provided by the reporter and datasource addresses: List of known addresses associated with the scam reporter: User/company who reported the scam first ip: IP address of the reporter status: If the scam is currently active, inactive or has been taken offline 0x11c058c3efbf53939fb6872b09a2b5cf2410a1e2c3f3c867664e43a626d878c0: { id: 81, name: "myetherwallet.us", url: "http://myetherwallet.us", coin: "ETH", category: "Phishing", subcategory: "MyEtherWallet", description: "did not 404.,MEW Deployed", addresses: [ "0x11c058c3efbf53939fb6872b09a2b5cf2410a1e2c3f3c867664e43a626d878c0", "0x2dfe2e0522cc1f050edcc7a05213bb55bbb36884ec9468fc39eccc013c65b5e4", "0x1c6e3348a7ea72ffe6a384e51bd1f36ac1bcb4264f461889a318a3bb2251bf19" ], reporter: "MyCrypto", ip: "198.54.117.200", nameservers: [ "dns102.registrar-servers.com", "dns101.registrar-servers.com" ], status: "Offline" },

flask-aws-tutorial

Flask app that will get you up and running on AWS (also uses RDS as a database)

flask-example-project

Python Flash - example project

flask-tutorial

A tutorial to build your first flask application

flask_template

A Flask website template for quickly making a website

flight-price-prediction

Get Flight Fare with this end to end Machine Learning Project

go-ethereum

Official Go implementation of the Ethereum protocol

hackerrank

Solutions to the practice exercises, coding challenges, and other problems on Hackerrank! www.Hackerrank.com

learning-aws-practitioner

Resources to prepare AWS cloud practitioner exam

machine-learning

A general understanding of Statistics Basics, Different tests with Different Python Libraries

machine-learning-with-big-data

Integrating Machine Learning with Big Data

map-reduce-data-processing

BITCOIN ANALYSIS USING BIG DATA JOBS

myflaskapp

Python Flask app with authentication

myflaskkapp

oracle-db-examples

Examples of applications and tool usage for Oracle Database