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ml-pipelines-airflow
Demonstrating and Building ML pipelines in AirflowPicture-lytics
Using Google's teachable machine to generate an image classification model and serving the model via streamlit. The classification tasks will be brain MRI tumor classification and Plant disease classificationsampleDjangoApp
A sample django application used for a guide that introduces django and serving an app in production using docker and nginxpy-schedule
Learning task scheduling in Python and Django using APSchedulerKsql-Streams
Learning stream processing using KSQL on top of Apache KafkaDigital-Vision
Computer Vision Basics to advanced. My journey through this subfield of AIEmail_and_Regex
Python scripts that show the basics of using regex in python and also, sending emails using python scriptsDjango-TestCases
A practice repo where I explore django tests, factory boy, mock calls, django signals and docker. The use case was from an interview where I failed so this is me learning from my mistakesDramatiq-Django
A sample appointments reminder app that demonstrates use of the background task library dramatiqdjango-saas
Boilerplate code to get you started on a SaaS application with razorpay payment gatewayDataScience-Dashboard
Learning streamlit as a dashboard and viz tool for data science projectspyFinance
A journey through applying python and numpy for financial analysis and discounting modelsSQL-TimeSeries
SQL analysis of time series data using timeseriesDB for PostgresRoger-That
Using RabbitMQ to demonstrate message queues in Python. The environment will be managed by dockerOOP-Inheritance
OOP project in C++ to demonstrate inheritanceTeraFlakes
Using Terraform to spin up resources in snowflake and wrapping everything in Docker.BullyAlgorithm
A conceptual python implementation of the bully algorithm which is an election algorithmdAG-Stack-Pipeline
Using DBT, airflow and Great expectations for data pipelinesTheScroll
A collection of links to notebooks hosted on Colab or Kaggle with Machine learning scriptsRPC-Travelling-Salesman
A simple python project that includes a server and client script which demonstrates the RPC communications architecture using the rpyc library. The main logic is about graphs in pythonLove Open Source and this site? Check out how you can help us