Jupyter Notebooks in S3 - Jupyter Contents Manager implementation

Retail data analysis pipeline utilizing AWS S3, Snowflake, Python, SQL, and Tableau. It demonstrates data transformation and setup in Jupyter Notebook, integrates real-time retail insights via an automated Tableau dashboard with Snowflake, and employs a CRON job in Jupyter Lab connected to Amazon SQS for consistent data updates.

This project combines some of my favorite technologies - open data, cloud computing, and Jupyter notebooks.

Implement pipeline between services, notebook, aws for automate recommendation engine

Pulled 10GB ofYelp Business data through the terminal via Kaggle API. The data was then pushed to and AWS S3 Bucket bucket for storage and analyzed on a Elastic MapReduce Cluster on a Jupyter Notebook using PySpark

Useful scripts and notebooks for Data Science. The project was made by Miquido. https://www.miquido.com/

Recommendation System using Factorization Machines - AWS SageMaker NoteBook Instance

Backend repo for Notebooks

Jupyter Notebook ETL from AWS S3 bucket

Google Colaboratory Notebook files to design ETL pipeline of Amazon music reviews and connection to AWS PostgreSQL database and analysis of the ratio of five star reviews as it relates to participation in the Vine program.

Big Data using PySpark, AWS, pgAdmin, postgreSQL, and Google Colab Notebooks to analyze if there any bias towards paid Amazon Reviews.

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.

CRUD Operation on S3 bucket from jupyter notebook using boto3.

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.

Jupyter notebooks to help team members utilize AWS SageMaker tools

Deploying a Sentiment Analysis Model on Amazon Sagemaker which consists of deploying a Sentiment Analysis model using Recurrent Neural Networks in the Amazon AWS SageMaker tool. The notebook and Python files provided here result in a simple web application which interacts with a deployed recurrent neural network performing sentiment analysis on …