A comprehensive collection of machine learning algorithms implemented from scratch and using popular libraries, with detailed explanations and practical examples.

This repository contains everything you need to become proficient in System Design

Implement a simple Restful API on Django using the following tech stack: Python, Django Rest Framework, AWS DynamoDB

A simple Django project to illustrate the use of Celery

V2Ray Docker Compose Sample (Bridge and Upstream Servers)

Example application code for the python architecture book

Setup a Elastic + Kibana stack in seconds! Ready for public use with TLS enabled between nodes, and automatic SSL/TLS certificates + renewal with certbot and Nginx.

A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.

Dockerizing Django with Postgres, Gunicorn, and Nginx

Application Demonstrating Login and Register with JWT

Scrapes an instagram user's photos and videos

A collection of (mostly) technical things every data scientist should know - `s/programmer/data-scientist/g` of every-programmer-should-know by @mtdvio

quizzes/assignments for mathematics for machine learning specialization on coursera

A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.