Lama Osman's starred repositories
Persona_generator
A function that creates random personas to be used for other projects that require "real" fake people
machine-learning-curriculum
:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
Machine_Learning_Assignments_Andrew_Ng
This repo is including machine learning assignments of Andrew_Ng's curriculums
pm4py-core
Public repository for the PM4Py (Process Mining for Python) project.
d3-graphviz
Graphviz DOT rendering and animated transitions using D3
awesome-processmining
A collection of awesome resources for process mining
awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
cloud-annotations
🐝 A fast, easy and collaborative open source image annotation tool for teams and individuals.
django-codespace-example
Trying out GitHub codespaces and making an example project
django-survey
A django survey app that can export results as CSV or PDF using your native language.
ELTE_ITDS_Labs
Materials for Practicals of the Introduction to Data Science Course at Eötvös Loránd University - Faculty of Informatics
Final_Project
Class final project_Lama_Peter_Divya_Igor_Fares
djangorestframework-idempotency-key
An installable DB backend idempotency key middleware for Django Rest Framework
Recommender-System-on-MovieLens-dataset
Knowledge-based, Content-based and Collaborative Recommender systems are built on MovieLens dataset with 100,000 movie ratings. These Recommender systems were built using Pandas operations and by fitting KNN, SVD & deep learning models which use NLP techniques and NN architecture to suggest movies for the users based on similar users and for queries specific to genre, user, movie, rating, popularity.
scrape_amazon_reviews
Get reviews from amazon
Tweet-Generator
Tweet Generator for CS 1.2: How Data Structures Work
Tweet-Generator
Product College Tweet Generator course on Data Structures & Probability with Python