Luke A's repositories

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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ADS508-Recommender-System

ADS-508 Final Project - Anime Recommender System

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aws-data-wrangler

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

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blueprints-text

Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"

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caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

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cfn101-workshop

AWS CloudFormation Workshop

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cosmispython

A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.

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Data-Science-Algorithms

Implementation of statistics algorithms for Machine Learning & Data Mining. The algorithms were implemented with the Scikit-Learn Library

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data-science-on-aws

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

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data_clinical-trials-gov

Scripts for loading in data from ClinicalTrial.gov

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elsapy

A Python module for use with Elsevier's APIs: Scopus, ScienceDirect, others.

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Fake_News_Detection

Fake News Detection in Python

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flask-api

sample project building an api using flask

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github-slideshow

A robot powered training repository :robot:

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graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

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missingno

Missing data visualization module for Python.

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module4

ADS507 module4

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Monthly-Amtrak-Ridership-Forecasting

A time-series analysis project in R-programming with the monthly AmTrak ridership data from January 1991 to May 2013. The objective is to build time-series forecasting models to forecast accurate ridership for the months of June, July, and August 2013.

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NHSRComm_TidyModels_Recipes

Tidymodels and Recipes NHS-R content

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or

Operations Research Algorithms

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PyAthena

PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.

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Python

All Algorithms implemented in Python

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python-knowledge

Useful python knowledge

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s22-06681

Course materials for data visualization and modeling

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ugo_py_doc

Python doc website. Not up to date.

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