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Name: Deepak Jayakumaran
Type: User
Name: Deepak Jayakumaran
Type: User
Deploy and Serve Model using Azure Databricks, MLFlow and Azure ML deployment to ACI or AKS
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 on Coursera
How to deploy airflow on Kubernetes
A collection of notebook to learn the Applied Predictive Modeling using Python.
A curated list to learn about distributed systems
A curated list of awesome machine learning interpretability resources.
A curated list of references for Amazon SageMaker
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
Getting started with Azure Kubernetes Service (AKS) with Terraform
A home for Azure specific Terraform modules
A complete computer science study plan to become a software engineer.
Readings in Databases
A generic template for building end-to-end machine learning projects
1st Edition of Elegant SciPy (O'Reilly Publishers)
Comprehensive collection of programming styles using a simple computational task, term frequency
Feature Engineering Made Easy, published by Packt
Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
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.
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
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.
Hackers' Guide to Language Models
This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel
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.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Open Machine Learning Course
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.