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/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.
angelotc/MacroDAG
A Dockerized Airflow ETL pipeline that processes macroeconomic indicators from the Federal Reserve.
angelotc/Decomposition-of-Retail-Companies
API for manipulating yfinance + numpy
angelotc/Ford-Fulkerson-Implementation
Ford-Fulkerson using Python 3.
angelotc/airflow-on-kubernetes
A guide to running Airflow on Kubernetes
angelotc/algorithms
Minimal examples of data structures and algorithms in Python
angelotc/angelotc.github.io
angelotc/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.
angelotc/awsdesign
For an unnamed hospital.
angelotc/city-recognition
angelotc/coding-interview-university
A complete computer science study plan to become a software engineer.
angelotc/FriedmanIsolationForest
Using IsoForest on Friedman dataset
angelotc/gpt4-pdf-chatbot-langchain
GPT4 & LangChain Chatbot for large PDF docs
angelotc/hacker-laws
💻📖 Laws, Theories, Principles and Patterns that developers will find useful. #hackerlaws
angelotc/Introduction-to-Machine-Learning
This repo will house all our course material and code snippets from the Introduction to Machine Learning Class
angelotc/InvestWell
angelotc/kafka-beginners-course
angelotc/metric-learn
Metric learning algorithms in Python
angelotc/metric-learning-LMNN-kNN-Example
LMNN + kNN on synthetic Friedman Dataset example. Resulted in 0.93 AUC.
angelotc/model-stacking-example
angelotc/mostVisitedNode
angelotc/neural-style
Neural style in TensorFlow! :art:
angelotc/new-grads-2020
A collection of new grad roles for 2020
angelotc/Outlier-Detection
Python script to flag files that are 10x above or below the mean or median benchmark.
angelotc/PieBacktester
Backtests your pie of stocks during a certain period using yfinance API.
angelotc/pycaret
An open-source, low-code machine learning library in Python
angelotc/python-read-write-sheet
Python sample application that loads a sheet, updates selected cells, and saves the results
angelotc/stream-viewer-ai
stream-viewer-ai
angelotc/tales-of-1001-data
A repository for exploring data science questions and listening to the stories that data has to tell
angelotc/twitch-chatbot-ai