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2023_portfolio

Here is my pursuit to showcase all of my product analytics work over the past several years! Some more technical than others, but the overall foundation of improving business processes is my goal in anything that I work on. I find the relevancy in Kaggle-esk datasets, and how they can be applied in the real world, with IRL DATA!

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

complete-guide-to-elasticsearch

Contains all of the queries used within the Complete Guide to Elasticsearch course.

data-science-general-assembly

Course materials for General Assembly's Data Science course in San Francisco (10/31/17 - 1/16/17)

decisiontrees

Tutorial for Decision Trees in Python

doc2vec

Doc2Vec algorithm for solving moview review sentiment analysis

metis

Data Engineering (March 2022)

portfolio

Case Studies with an array of Machine Learning techniques for all data types

prob_stats

rh_machinelearning

scraping-glassdoor-selenium

Jupyter Notebook from Selenium Tutorial: Scraping Glassdoor.com"

streamlit_freecodecamp

Build 12 Data Apps in Python with Streamlit

streamlit_on_heroku