Pinned Repositories
2019-fall-main
2020-spring-main
207-final-project
MIDS
A collection of course materials, notes and assignments for the Masters of Information and Data Sciences program at UC Berkeley
MIDS_W203_5_Lab3
probability_cheatsheet
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
ucb_w205_crook_supplement
UC Berkeley, W205 Data Engineering, 2018 Spring, Kevin Crook's supplement
w205
w209_final_project
w261_final_project
kevin-hartman's Repositories
kevin-hartman/MIDS
A collection of course materials, notes and assignments for the Masters of Information and Data Sciences program at UC Berkeley
kevin-hartman/w209_final_project
kevin-hartman/2020-spring-main
kevin-hartman/MIDS_W203_5_Lab3
kevin-hartman/probability_cheatsheet
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
kevin-hartman/ucb_w205_crook_supplement
UC Berkeley, W205 Data Engineering, 2018 Spring, Kevin Crook's supplement
kevin-hartman/w205
kevin-hartman/w261_final_project
kevin-hartman/2019-fall-main
kevin-hartman/207-final-project
kevin-hartman/241_final_project
kevin-hartman/Automated-Manual-Comparison
Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
kevin-hartman/d3V4ForceTutorial
A step by step tutorial on how to use the d3 v4 forceSimulation system, to create network visualizations using canvas.
kevin-hartman/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
kevin-hartman/docker-images
docker images for class
kevin-hartman/featuretools
An open source python library for automated feature engineering
kevin-hartman/gams-in-r-course
Generalized Additive Models in R: A Free Interactive Course
kevin-hartman/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
kevin-hartman/llmops-stacks
This repo provides a customizable stack for starting new GenAI projects on Databricks that follow production best-practices out of the box.
kevin-hartman/MIDS_W203_5_Hartman_Leung_Lab2
kevin-hartman/predict-customer-churn
A general-purpose framework for solving problems with machine learning applied to predicting customer churn
kevin-hartman/w241
This is the course repository for w241 -- Experiments and Causality.
kevin-hartman/w261-environment