ChemelAA
10 years in astrophysics, master of science with 4 years of postgraduate study | data analytics | data science | Python
WayveeHaifa, Israel
ChemelAA's Stars
dabeaz-course/python-mastery
Advanced Python Mastery (course by @dabeaz)
GeostatsGuy/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
mini-pw/2021Z-DataVisualizationTechniques
📊 Data Visualization Techniques course for DS studies in Winter 2020/21
rstudio/cheatsheets
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
gto76/python-cheatsheet
Comprehensive Python Cheatsheet
pycaret/pycaret
An open-source, low-code machine learning library in Python
Vedenin/useful-java-links
A list of useful Java frameworks, libraries, software and hello worlds examples
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
soulmachine/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
huggingface/optimum
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
GauravBh1010tt/DeepLearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
VikParuchuri/zero_to_gpt
Go from no deep learning knowledge to implementing GPT.
ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
mshumer/gpt-prompt-engineer
afizs/be-theboss-in-python
This repo helps you to be the boss in Python.
approximatelabs/sketch
AI code-writing assistant that understands data content
youssefHosni/Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
pmulard/machine-learning-specialization-andrew-ng
A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.
avikumart/LLM-GenAI-Transformers-Notebooks
An repository containing all the LLM notebooks with tutorial and projects
ethen8181/machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
Coder-World04/Complete-Machine-Learning-
This repository contains everything you need to become proficient in Machine Learning
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
EbookFoundation/free-programming-books
:books: Freely available programming books
apptension/developer-handbook
An opinionated guide on how to become a professional Web/Mobile App Developer.
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
vasanthk/how-web-works
What happens behind the scenes when we type www.google.com in a browser?
mikeizbicki/deep-tda
SiddheshBangar/Learn-Machine-Learning
The "Learn-Machine-Learning" repository on GitHub is a collection of resources and code examples aimed at helping beginners learn the basics of machine learning. The repository includes various Jupyter notebooks and Python scripts that cover topics such as data preprocessing, regression, classification and clustering.