Pinned Repositories
Advanced-ML-Projects
Algorithms
:computer: Data Structures and Algorithms in Python
Animation-Nation
A ZTM Challenge for Hacktoberfest 2019
APIs
Code Repo for API course in Fullstack ND
azure-devops-kubernetes-terraform-pipeline
https://github.com/in28minutes/devops-master-class
BRE
⭕️ Building Recommendation Engines in Python
cd0025-supervised-learning
Project code for cd0025 Supervised Learning
cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial.
Data-Science-and-Machine-Learning-Theory-and-Projects-A-to-Z
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
shakunkumargithub's Repositories
shakunkumargithub/APIs
Code Repo for API course in Fullstack ND
shakunkumargithub/machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
shakunkumargithub/MLOps_Workshop
Azure MLOps
shakunkumargithub/gradle-docker
a Gradle plugin for orchestrating docker builds and pushes.
shakunkumargithub/devops-master-class
Devops Tutorial for Beginners - Learn Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops
shakunkumargithub/exchange_rate
shakunkumargithub/intro-to-ml-tensorflow
Projects and exercises for the Udacity Intro to Machine Learning with TensorFlow course
shakunkumargithub/deployment-heroku
Deployment Heroku
shakunkumargithub/Algorithms
:computer: Data Structures and Algorithms in Python
shakunkumargithub/Udacity
shakunkumargithub/recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
shakunkumargithub/shakunkumargithub
Config files for my GitHub profile.
shakunkumargithub/GitTestRepository
shakunkumargithub/Microsoft-Press-Introduction-to-Microsoft-Power-BI
shakunkumargithub/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.
shakunkumargithub/DLTFpT
Deep Learning with TensorFlow, Keras, and PyTorch
shakunkumargithub/ImagesWithFlask-1
shakunkumargithub/Advanced-ML-Projects
shakunkumargithub/cd0025-supervised-learning
Project code for cd0025 Supervised Learning
shakunkumargithub/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
shakunkumargithub/Data-Science-and-Machine-Learning-Theory-and-Projects-A-to-Z
shakunkumargithub/MongoDB-University
Repo for All MongoDB University Courses
shakunkumargithub/ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
shakunkumargithub/BRE
⭕️ Building Recommendation Engines in Python
shakunkumargithub/support-tickets-classification
This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
shakunkumargithub/azure-devops-kubernetes-terraform-pipeline
https://github.com/in28minutes/devops-master-class
shakunkumargithub/cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial.
shakunkumargithub/Deploying-Machine-Learning-Models-with-Flask-for-Beginners
Deploying Machine Learning Models with Flask for Beginners [Video], published by Packt.
shakunkumargithub/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
shakunkumargithub/pycaret-deployment-google
PyCaret deployment on Google Cloud Platform