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🎯 Async Notcoin botnet that uses the best strategy to mine.
Collection of notebooks for time series analysis
Multi-Armed Bandit method of accurately estimating the largest parameter out of a set of candidates.
🌎 machine learning tutorials (mainly in Python3)
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
Introduction to performing Machine Learning on Snowflake
This is a repo with links to everything you'd ever want to learn about data engineering
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Step-by-step workshop for the "Simplifying Data Analysis" talk
Solutions and workflow for the Bayesian Statistics The Fun Way book in Python
Public code of Dr. Ivan Reznikov used in posts, articles, conferences
"1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data versioning to Model monitoring and drift detection.
Explore how to build a Q&A system on PDF File's using AstraDB's Vector DB with Langchain and OpenAI API's
Neural Networks: Zero to Hero
Curated list of project-based tutorials
An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in Python
Random stuff I've been working on
Examples and guides for using the OpenAI API
Causal Inference and Discovery in Python by Packt Publishing
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
Recursive Bayesian Estimation (Sequential / Online Inference)
Python code for "Probabilistic Machine learning" book by Kevin Murphy
"Probabilistic Machine Learning" - a book series by Kevin Murphy