ML For Beginners
microsoft
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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Results: 175
microsoft
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
scikit-learn
scikit-learn: machine learning in Python
gradio-app
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
shap
A game theoretic approach to explain the output of any machine learning model.
lukasmasuch
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
stefan-jansen
Code for Machine Learning for Algorithmic Trading, 2nd edition.
kubeflow
Machine Learning Toolkit for Kubernetes
alirezadir
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
DataTalksClub
Learn ML engineering for free in 4 months! Register here 👇🏼
meta-llama
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to e…
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
scikit-learn-contrib
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
flyteorg
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
davisking
A toolkit for making real world machine learning and data analysis applications in C++
timeseriesAI
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Design direction, Figma implementation, UI review, React performance, browser QA, and safe preview deployments.
Code review, repo inspection, testing, planning, shipping, and engineering workflows for coding agents.
Research, recent-events briefings, PDF parsing, markdown conversion, RAG ingestion, and knowledge workflows.
Stock analysis, market research, quant backtesting, financial data, and investment research skills.
Crawling, scraping, extraction, browser automation, structured data capture, and website-to-markdown workflows.
Video-generation prompts, B-roll, Vox-style explainers, camera direction, captions, and creative-production workflows.
Image, video, creative production, UI design, multimodal generation, and visual workflow skills.
Data analysis, analytics, ETL, notebooks, databases, tables, charts, and reporting workflows.