juypter-notebook

This repository contains all the code I use in my YouTube tutorials.

The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepare for jobs like Senior Data Analyst and Junior Data Scientist.

Seamlessly integrate marimo reactive notebooks into JupyterLab and JupyterHub

SORDI dataset has per frame annotation file in json format. Following tools create a COCO style annotation out of it. Thus the SORDI data can be easily fed into COCO style training pipelines.

📊📈🔬 SpectraFit is a command-line and Jupyter-notebook tool for quick data-fitting based on the regular expression of distribution functions.

Exploring functional centric designs and patterns in Python

Passport document verifications using machine learning python sklearn

Various examples of notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit.

I created these mini games in python as my logic building exercise

A collection of deep learning notebooks for learning and practicing.

Applying Maths in the Chemical and Biomolecular Sciences by Godfrey Beddard

Implementing data structure and algorithm in python

Multi-engine neural translator across 200 languages — local NLLB-200 / MADLAD / Ollama + free Gemini/Groq APIs. FastAPI + Next.js.

A Collaborative Hub for Python Enthusiasts, one-stop destination for python programs, games, projects, and more...

This repository contains the code accompanying the case study featured in the CFA Institute Research and Policy Center report, Reframing Financial Markets as Complex Systems

This project presents a powerful Web Application Firewall (WAF) designed to protects web applications from malicious activities. By leveraging machine learning algorithms, the WAF efficiently filters and detects potentially harmful requests before they reach the website, ensuring robust security.

Minimal Jupyter Fortran kernel

This project is about getting familiar with machine learning classification problem !

100 Day ML Challenge to learn and implement ML/DL concepts ranging from the basics to more advanced state of the art models.

Create Android apps with Python Kivy in Google Colab using Buildozer for compilation. Leverage Kivy's features for UI design. Compile apps into APKs directly from Colab. This guide provides step-by-step instructions for development and testing.