Pinned Repositories
any-nlp
How to approach any Natural Language Processing (NLP) problem using Keras, Tensorflow, and Glove Vectors.
Build-K-Nearest-Neighbors
Implementation of K-Nearest Neighbors algorithm rebuilt from scratch using Python. Comparison to the Sci-Kit Learn implementation included.
build-python-app-docker
working on a project for a test
chadmin-fastapi
Fastapi inside docker container to upload to AWS Elastic Beanstalk
col_calc
Cost of living calculator for unit 2 build week
connect_to_es
connect to elastic search ec2 instance
Cookbook
Collection of recipes, snippets, and cleverness where possible
Data-Engineering-Batch
Takes product reviews and performs natural language processing to provide sentiment analysis. The new insight gets combined with matching product information in the central database to provide a clearer picture of user behavior.
kondoboard-etl
Kondoboard - job search website aggregation. Extracts data from multiple job search website API, transforms the information into a common data structure,loads the uniform data into an ElasticSearch database for rapid and precise full text search capabilities.
spark-emr-airflow
Mark-McAdam's Repositories
Mark-McAdam/Data-Engineering-Batch
Takes product reviews and performs natural language processing to provide sentiment analysis. The new insight gets combined with matching product information in the central database to provide a clearer picture of user behavior.
Mark-McAdam/any-nlp
How to approach any Natural Language Processing (NLP) problem using Keras, Tensorflow, and Glove Vectors.
Mark-McAdam/Build-K-Nearest-Neighbors
Implementation of K-Nearest Neighbors algorithm rebuilt from scratch using Python. Comparison to the Sci-Kit Learn implementation included.
Mark-McAdam/build-python-app-docker
working on a project for a test
Mark-McAdam/chadmin-fastapi
Fastapi inside docker container to upload to AWS Elastic Beanstalk
Mark-McAdam/col_calc
Cost of living calculator for unit 2 build week
Mark-McAdam/Cookbook
Collection of recipes, snippets, and cleverness where possible
Mark-McAdam/kondoboard-etl
Kondoboard - job search website aggregation. Extracts data from multiple job search website API, transforms the information into a common data structure,loads the uniform data into an ElasticSearch database for rapid and precise full text search capabilities.
Mark-McAdam/spark-emr-airflow
Mark-McAdam/cs_lambda
Mark-McAdam/databricks-101
Mark-McAdam/Docker-For-Developers
Mark-McAdam/Docker-For-Developers-CI
Mark-McAdam/DS-Unit-4-Sprint-3
Mark-McAdam/etl-cron
this is the extract load transform function converted to run as a lambda function, starting with the blank-python repo from the aws docs
Mark-McAdam/JP-Morgan-Chase-Virtual-Apprentice
Mark-McAdam/LambdaSchool
Mark-McAdam/LILearning_advanced_terraform
Mark-McAdam/Mark-McAdam
Mark-McAdam/Mark-McAdam.github.io
Mark-McAdam/ml-deploy
properly ship and deploy ML | FastAPI - Docker - Heroku - GitHub Actions
Mark-McAdam/my-web-app-12
web app to compare tweets from between two users
Mark-McAdam/project-euler
Working my way through project-euler in python first
Mark-McAdam/sprint-challenge-computer-architecture
Sprint Challenge Folder
Mark-McAdam/sprint_challenge_hash_tables
Mark-McAdam/stylegan-docker
Style transfer application, FastAPI backend to serve predictions, Streamlit for the user interface, OpenCV for the predictions
Mark-McAdam/tableau-2020-essential
Mark-McAdam/Terraform-Zeal-Udemy
Mark-McAdam/Udemy-sagemaker-ml-specialty
Mark-McAdam/Unit-2-Build-Example
Here is a repo made from the template for a dash app