Mohamed Darwish's repositories
100-Days-Of-ML-Code
100 Days of ML Coding
100DaysOfMLCode-1
This repository contains all the required resources regarding the 100+ Days Of ML Code Telgram Group which was driven by me from 1-1-2019 to 31-12-2019 !!
analytics-handbook
Getting started with soccer analytics
ARC
The Abstraction and Reasoning Corpus
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
awesome-computer-vision
A curated list of awesome computer vision resources
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Data-Science--Cheat-Sheet
Cheat Sheets
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
deeplearning-models
A collection of various deep learning architectures, models, and tips
Django-Dialogflow-Appointment-Scheduler
Build a Dialogflow chatbot frontend using Django framework and deploy it on App Engine.
django-favicon-tutorial
How to add a favicon to any Django website.
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
kepler.gl
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
mongo-course-m220
Mongo Course on PyMongo
pinform
PInfORM: InfluxDB ORM (OSTM) for Python
practicalAI
📚 A practical approach to machine learning.
Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
search_fundamentals_course
Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/course/search-fundamentals?utm_source=daniel
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition