benslack19 Goto Github PK

applied_plotting_python_padres

A project associated with Applied Plotting, Charting & Data Representation in Python on Coursera

baseball_player_selector

For my Insight project, I built a tool to predict baseball player performance using linear regression while applying pandas, scikit-learn, matplotlib and postgreSQL queries

benslack19.github.io

Jekyll-based personal website that includes blog, portfolio, and notes.

ca-ed-study

I evaluated the school and community features associated with low income student success

ca_dropout_rates

A study of dropout rates in CA high schools.

cc-linear-mixed-models

Introduction to linear mixed models

covid_cases_by_county

Simple time series plots of cases for a county of interest

dvc_test

g_scatter

a ggplot2-inspired scatter plot for python/pandas/matplotlib

gene_subpanel

Creating subpanels from a gene list. Practice for using Python to access web data, control databases, and apply ML.

intro_ds_housing_prices

Final assignment for Coursera Introduction to Data Science course

jekyll-theme-unit-test

:paperclip: Sample Jekyll content (posts, pages, collections, and images) to test your theme against.

machine_learning_assignments

Completed assignments in MATLAB

multidim-color-representation

MATLAB code representing time or depth in a color series

my_ds_notes

Notes for SQL, probability and statistics, machine learning, and data structures and algorithms

notes

Notes on data science, machine learning, artificial intelligence, history, and social science.

pediatric_oncology_ehr

Abstract of health data science fellowship project

pymc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

python-object-oriented-programming-4413110

This is a repository for the LinkedIn Learning course Python Object-Oriented Programming

resources

PyMC3 educational resources

stats_rethinking

Personal Python code for Statistical Rethinking, 2nd edition.

sublime-installer

A Sublime Text Editor Installer made in shell script for the 2.0.1 version

tmorville.github.io