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salian's Projects

aisteroid icon aisteroid

Artificial Intelligence in the Search for Asteroids

btc-address-verifier icon btc-address-verifier

A Python script to verify (i.e. generate) a BTC Address, using your private key. Accepts private keys in bulk.

clip icon clip

Contrastive Language-Image Pretraining

covid-vaccine-booking icon covid-vaccine-booking

This very basic script can be used to automate COVID-19 vaccination slot booking on India's Co-WIN Platform.

django-db-mailer icon django-db-mailer

Django module to easily send emails/sms/tts/push using django templates stored on database and managed through the Django Admin

eth-address-verifier icon eth-address-verifier

A Python script to generate or verify an Ethereum Account Address and its Contract Addresses, using your recovery phrase or private key

ethereum-boilerplate icon ethereum-boilerplate

The ultimate full-stack Ethereum Dapp Boilerplate which gives you maximum flexibility and speed. Feel free to fork and contribute. Although this repo is called "Ethereum Boilerplate" it works with any EVM system and even Solana support is coming soon! Happy BUIDL!👷‍♂️

guides icon guides

A collection of easy-to-understand guides to programming tools

jlcpcb-eagle icon jlcpcb-eagle

EAGLE cad helpers for JLCPCB production and assembly services

koalixcrm icon koalixcrm

koalixcrm is an Open Source Python CRM and ERP based on django

ootbait icon ootbait

Open Source Arduino Standing Desk with scheduled sit-stand periods.

stock-price-prediction-using-twitter-sentiment-analysis icon stock-price-prediction-using-twitter-sentiment-analysis

The coding has been done on Python 3.65 using Jupyter Notebook. This program fetches LIVE data from TWITTER using Tweepy. Then we clean our data or tweets ( like removing special characters ). After that we perform sentiment analysis on the twitter data and plot it for better visualization. The we fetch the STOCK PRICE from yahoo.finance and add it to the data-set to perform prediction. We apply many machine learning algorithms like (random forest, MLPClassifier, logistic regression) and train our data-set. Then we perform prediction on untrained data and plot it with the real data and see the accuracy.

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