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Viren Patel's Projects

amazon-redshift-utils icon amazon-redshift-utils

Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment

argo-cd icon argo-cd

Declarative continuous deployment for Kubernetes.

awesome-mysql icon awesome-mysql

A curated list of awesome MySQL software, libraries, tools and resources

awesome-postgres icon awesome-postgres

A curated list of awesome PostgreSQL software, libraries, tools and resources, inspired by awesome-mysql

awesome-rnn icon awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

certified-kubernetes-security-specialist icon certified-kubernetes-security-specialist

Curated resources help you prepare for the CNCF/Linux Foundation CKS 2021 "Kubernetes Certified Security Specialist" Certification exam. Please provide feedback or requests by raising issues, or making a pull request. All feedback for improvements are welcome. thank you.

ckad-exercises icon ckad-exercises

A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation

ckad-prep-notes icon ckad-prep-notes

List of resources and notes for passing the Certified Kubernetes Application Developer (CKAD) exam.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deeptf-tutorial icon deeptf-tutorial

Collection of examples and data from "The Complete guide to TensorFlow for Deep Learning with Python" by Jose Portilla

dynamodb-b2p icon dynamodb-b2p

Lab files for A Cloud Guru 'Amazon DynamoDB - From Beginner to Pro '

flet-color-browser icon flet-color-browser

A simple Web and desktop UI for easy color selection in Flet Application development.

go icon go

The Open Source Data Science Masters

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

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