Google Cloud Platform, offered by Google, is a suite of cloud computing services. It provides Infrastructure as a Service, Platform as a Service, and serverless computing environments. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
A GitHub Action for running a Google Cloud Vertex AI notebook.
Example of running Jupyter notebook on Google Cloud serverless products
Ansible script to provision a machine on the Google Cloud Platform with a Jupyter Notebook
A collection of apps and projects that interact with Google Cloud APIs.
Setting Up Jupyter Notebooks On Google Cloud
The Web-developer's Notebook 📓
Sample code and notebooks for Generative AI on Google Cloud, including Gemini
Switching from GPU to the future of Machine learning the TPU. Over 1 million images trained Resnet50 in under 20 mins compared to days or weeks on GPU and all for 0$ free on Google Colab Notebooks in Google Drive, clone repo and jump right in!!
COVID-19 Data Analysis notebook project. Created using Google collab
Jupyter notebook for classifying a folder of images using google auto-ml vision
In this repository, I performed an analysis of my blog page 6 months data from a Google Analytics 4 (GA4) account using Google Cloud services within a Jupyter notebook. The aim of this project is to leverage my knowledge of GA4 in conjunction with my proficiency in Jupyter notebooks to conduct an analysis.
Contains Jupyter Notebooks (downloaded from Google Cloud) in the Coursera course "Launching into Machine Learning" by Google Cloud. This repository is mainly for reference.
This is a series of notebooks intended as a tutorial for deploying a Keras model (a Convolutional Neural Network for Fashion MNIST) on Google Cloud using AI Platform Prediction. It includes the steps on how to get predictions from the model from a local Python client. It assumes a Google Cloud Account with a project and bucket created, the Googl…
Contains Jupyter Notebooks and data files (downloaded from Google Cloud) in the Coursera course "TensorFlow on Google Cloud" by Google Cloud. This repository is mainly for reference.
Released April 7, 2008