charlehl Goto Github PK

100-days-of-python

100 Days of Code in Python

awesome-pipeline

A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

charlehl.github.io

data-science-primer

A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/

data_engineer

Repository for Data Engineering Projects and Learning

data_science_skills

Data Science Practice Area

datacamp_projects

Datacamp projects

dataset-examples

Samples for users of the Yelp Academic Dataset

ds-career-resources

Compilation of resources and insights that helped me on my journey to data scientist

embedded

gcp-data-engineering

Batch Processing , orchestration using Apache Airflow and Google Workflows, spark structured Streaming and a lot more

google-cloud-data-engineering

Some ideas to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets.

kaggle_comps

kaggle comp projects

personal_work

Repository for my personal projects

project-one-group-three

A shared repository for first group project

project-three-nba-predict

Repository for final project

project-two-bikeshare

A shared repository for second group project

quick-portfolio

Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

r_projects

Repository for Personal R Projects

stanford_dbclass

Collection of my solutions to the (infamous) dbclass (2014 version) offered by Stanford.

state-drug-utilization-data

Publication of these drug utilization data sets have been available since the start of the Medicaid Drug Rebate Program, where states report drug utilization for covered outpatient drugs paid for by state Medicaid agencies.

tableau

Tableau workbook repository.

twitter-analysis

The file TwitterMySQL.py accesses the twitter streaming API and collects data and stores it into a MySQL database. The analyzeTweets.py file contains a class which processes the raw text and creates a Wordcloud.

uci-data-analytics