gardnmi's Repositories

37 repositories

all_purpose_bypass
No description
⭐ 4 🌐 Public
anaconda-dev-container-tutorial
No description
⭐ 0 🌐 Public
auto_zorder
Take the guesswork out of ZORDER
⭐ 6 🌐 Public
best-notebooks
Software engineering best practices for notebooks
⭐ 0 🌐 Public
better-bundle-config
No description
⭐ 0 🌐 Public
blog
No description
⭐ 2 🌐 Public
charming-aurora
No description
⭐ 0 🌐 Public
code_snippets
No description
⭐ 0 🌐 Public
collectorshub
No description
⭐ 0 🌐 Public
databricks-mcp-tmp
No description
⭐ 0 🌐 Public
databricks_snippets
No description
⭐ 3 🌐 Public
datasets
public datasets used in projects and demonstrations
⭐ 0 🌐 Public
db-cluster-price-transparency
No description
⭐ 4 🌐 Public
db_copilot
No description
⭐ 0 🌐 Public
db_fsspec
No description
⭐ 0 🌐 Public
dlt_sidestep
No description
⭐ 1 🌐 Public
docker-complex-setup-example-academind
No description
⭐ 0 🌐 Public
flask_blog_editor
Flask Blog is a Flask Tutorial by Corey Schafer which is a great introduction into learning Flask and web development.
⭐ 0 🌐 Public
foreachBatch_db_connect_issue
Demo showing how issue with foreachBatch for the Databricks Engineering Team
⭐ 0 🌐 Public
fundamental-stock-prediction
No description
⭐ 0 🌐 Public
ge_demo
No description
⭐ 0 🌐 Public
ge_demo_2
No description
⭐ 0 🌐 Public
luigi-example
No description
⭐ 2 🌐 Public
Notebooks
Jupyter Notebooks
⭐ 3 🌐 Public
not_hotdog
A not_hotdog deeplearning model using fastai
⭐ 0 🌐 Public
Pandas-Tutorials
How To's and Tutorials in Jupyter Notebook
⭐ 15 🌐 Public
personal-blog
No description
⭐ 0 🌐 Public
pga_stats
Machine Learning Model for PGA Statistics
⭐ 0 🌐 Public
prophet
Forecasting Stock Perfomance with Prophet
⭐ 8 🌐 Public
reddit_score_prediction
Keras Model used to predict a comments score on Reddit
⭐ 1 🌐 Public
rpu-connect
No description
⭐ 0 🌐 Public
spark-connect-local-env
No description
⭐ 0 🌐 Public
StreamingFlair
StreamingFlair.com
⭐ 0 🌐 Public
test_actions
test
⭐ 0 🌐 Public
valuation-dashboard
No description
⭐ 0 🌐 Public
yellowpages-scraper
Yellowpages.com Web Scraper written in Python and LXML to extract business details available based on a particular category and location.
⭐ 0 🌐 Public
zillion_picks
AI Sports Picks
⭐ 0 🌐 Public