kalebcoberly Goto Github PK
Name: Kaleb Coberly
Type: User
Bio: Data Analyst, Data Wrangler, Data Scientist, Data Engineer
Location: Bellingham, WA
Kaleb Coberly's Projects
cookbook
The Data Engineering Cookbook
cplusplus-performative-assessment
Basic C++ program, demonstrating object creation, memory management, encapsulation, commenting, etc.
create-your-own-adventure
This is example repo illustrates the concept of a "Pull Request", created as part of the course How to Use Git and GitHub
data_wrangling_osm_xml_with_python_into_mongodb
Using Python, I audited and cleaned an OpenStreetMap XML extract, reshaped into JSON, and loaded and queried in MongoDB.
github-upload
Following along with a GitHub lesson on uploading repo.
intro-to-data-science-inferential-stats
Testing the Stroop effect with t-test in Python.
intro-to-data-science-investigate-a-dataset
Playing with Gapminder and Python: *casual* correlation analysis, verbose narrative; democracy, education, equity
kaggle_housing_price_regression
Wrangling, EDA, feature engineering, ML and linear regression, and hypothesis testing in R-Studio notebooks.
ml_classification_enron_emails
Using Python, I explored and engineered data from Enron email metadata and financials, building and tuning a number of scikit-learn classification models to detect persons of interest.
r_eda_wine_properties_and_quality
In R markdown, with heavy use of ggplot2, I explored the physiochemical properties and quality ratings of over 6,000 wines with an eye to ML classification and prediction.
train_test_split_r
Split an R data frame into train_X, test_X, train_y, and test_y sets. Optimize representativity of samples across features.
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