Implement pipeline between services, notebook, aws for automate recommendation engine
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Updated
Aug 24, 2023
Implement pipeline between services, notebook, aws for automate recommendation engine
This repository consists of 7 machine learning projects implementing various machine learning algorithms like XGBoost, LinearRegression, k-means Clustering, NLP in Amazon Sagemaker Notebook. AWS Lambda and API Gateway are used to deploy the ML models in web app.
This repository contains different projects and deep learning concept notebooks. I mostly used PyTorch to develop ANN, RNN, CNN, GAN/DCGAN algorithms. I used AWS services such as Sagemaker, lambda, Restful API, EC2 and EMR during learning phase. 'Orca is deep diver dolphin, shows my honest approach to deep dive in the field of AI.
Deploy Jupyter Notebook to AWS Lambda
Important Resources and Workspace Notebooks as mentioned in the Udacity Deep Learning Nanodegree. WELCOME to Udacity DLND Workspace
my notes
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