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A Python 3 programming tutorial for beginners.
Lime: Explaining the predictions of any machine learning classifier
A game theoretic approach to explain the output of any machine learning model.
This page contains information on the Evening of Python Coding held in Austin
🧮 A collection of resources to learn mathematics for machine learning
A/B Testing — A complete guide to statistical testing
🎓 Sharing machine learning course / lecture notes.
PRML algorithms implemented in Python
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models,…
Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models,…
Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models…
Open source platform for the machine learning lifecycle
An Azure Databricks workshop leveraging the New York Taxi and Limousine Commission Trip Records dataset
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Code snippets and tutorials for working with social science data in PySpark
Intro to Machine Learning with the Tidyverse
基于python3使用spark的统计分析，涵盖spark的几大模块，主要有spark core、spark mllib、spark sql及spark streaming等的python实现
PySpark Algorithms Book: https://www.amazon.com/dp/B07X4B2218/ref=sr_1_2
Basic Machine Learning and Deep Learning
Practice your pandas skills!
A complete daily plan for studying to become a machine learning engineer.