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01azure-aks-databricks-mlflow-azureml-deployment

Deploy and Serve Model using Azure Databricks, MLFlow and Azure ML deployment to ACI or AKS

90daysofdevops

This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.

advanced-machine-learning-specialization

Advanced Machine Learning Specialization on Coursera

airflow-kube-setup

How to deploy airflow on Kubernetes

aks-af-aad

apache_airflow_on_eks

applied-predictive-modeling-with-python

A collection of notebook to learn the Applied Predictive Modeling using Python.

awesome-distributed-systems

A curated list to learn about distributed systems

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-sagemaker

A curated list of references for Amazon SageMaker

aws-mlops

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

azure-aks-k8s-tf

Getting started with Azure Kubernetes Service (AKS) with Terraform

azure-terraform-modules

A home for Azure specific Terraform modules

coding-interview-university

A complete computer science study plan to become a software engineer.

db-readings

Readings in Databases

e2eml-cookiecutter

A generic template for building end-to-end machine learning projects

elegant-scipy

1st Edition of Elegant SciPy (O'Reilly Publishers)

exercises-in-programming-style

Comprehensive collection of programming styles using a simple computational task, term frequency

feature-engineering-made-easy

Feature Engineering Made Easy, published by Packt

genai-on-aws

hands-on-gradient-boosting-with-xgboost-and-scikit-learn

Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hypermodern-python

Hypermodern Python

kalman-and-bayesian-filters-in-python

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 filters, and more. All exercises include solutions.

lm-hackers

Hackers' Guide to Language Models

mastering-apache-spark

This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel

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.

mlb

Code Repository for Machine Learning with PyTorch and Scikit-Learn

mlcourse.ai

Open Machine Learning Course