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activitymonitoring

agriculture

This Repository consists of Ground water, farming and climate impact data analysis

ai-fundamentals

Code samples for AI fundamentals

airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

approachingalmost

Approaching (Almost) Any Machine Learning Problem

artificial-intelligence-and-machine-learning-fundamentals

Get started with the development of real-world applications that are powered by the latest AI advances

auth0-vue-samples

Auth0 Integration Samples for Vue.js Applications

awesome-mlops

A curated list of references for MLOps

aws-data-wrangler

Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

az-220-microsoft-azure-iot-developer

AZ-220: Microsoft Azure IoT Developer

azure-iot-sdks

SDKs for a variety of languages and platforms that help connect devices to Microsoft Azure IoT services

beam

Apache Beam is a unified programming model for Batch and Streaming

bigquery-oreilly-book

Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media

cat-dog-cnn-classifier

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

cloud-for-marketing

cloud-foundation-fabric

End-to-end modular samples for Terraform on GCP.

cloud-iot-core-kit-examples

Example projects and code are supplied to support the Arm-based IoT Kit for Cloud IoT Core

cognitive-samples-intelligentkiosk

Welcome to the Intelligent Kiosk Sample! Here you will find several demos showcasing workflows and experiences built on top of the Microsoft Cognitive Services.

cortex

Build machine learning APIs

course3-assignement

coursera-assignment-week-4-----practical-machine-learning

coursera-data-science-capstone

Coursera Data Science Capstone Final Project

coursera_deep_learning_specialization

Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.

dasd

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

databricks-apache-spark-2x-certified-developer

Databricks - Apache Spark™ - 2X Certified Developer

dataflowtemplates

Google-provided Cloud Dataflow template pipelines for solving simple in-Cloud data tasks

datasciencecoursera

test cap

datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...