Pinned Repositories
airflow-on-kubernetes
A guide to running Airflow on Kubernetes
algorithms
Minimal examples of data structures and algorithms in Python
angelotc.github.io
Decomposition-of-Retail-Companies
API for manipulating yfinance + numpy
Ford-Fulkerson-Implementation
Ford-Fulkerson using Python 3.
LightGBM-binary-classification-example
A model that predicts the default rate of credit card holders using the LightGBM classifier. Trained the LightGBM classifier with Scikit-learn's GridSearchCV.
MacroDAG
A Dockerized Airflow ETL pipeline that processes macroeconomic indicators from the Federal Reserve.
Skunkworks-Uncertainty-Quantification
Pre-clustering superconductors dataset with HDBSCAN, sampling with randomized presorted clusters, then using Mahalanobis distance as an uncertainty quantification metric with R^2.
SummonerPy
Gives statistics of your team's recent ranked history on any LoL server.
materials_application_domain_machine_learning
A package for definining the domain of a machine learning model via a feature dissimilarity metric.
angelotc's Repositories
angelotc/redtide
Compile and analyze stock data
angelotc/SummonerPy
Gives statistics of your team's recent ranked history on any LoL server.
angelotc/InsightPharmacy
InsightPharmacy
angelotc/ML-Trading-Algorithms-
Uses Quantopian APi.
angelotc/ProStatsDashboard
angelotc/gradient-boosting-regression-home
angelotc/FinanceOps
Research in investment finance with Python Notebooks
angelotc/Gradient-boosting-regression-example
A performance and accuracy case study of using gradient boosting regression versus other linear statistical models.
angelotc/Tutorial-Arima-w-jeffrey-yau
angelotc/TwitterQueryAnalyzer
angelotc/pythonprojects
angelotc/Django-Chart.js
Learn how to integrate Chart.js with Django