BlakeRosenhagen
College grad with education in finance and data analytics ready and able to tackle the industry.
Austin, TX
BlakeRosenhagen's Stars
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
christophM/interpretable-ml-book
Book about interpretable machine learning
plotly/dash-sample-apps
Open-source demos hosted on Dash Gallery
robbiebarrat/rapping-neural-network
Rap song writing recurrent neural network trained on Kanye West's entire discography
vibertthio/awesome-machine-learning-art
:robot::art::guitar:A curated list of awesome projects, works, people, articles, and resource for creating art (including music) with machine learning. It's machine learning art.
scikit-learn-contrib/py-earth
A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
Regalis11/scpcb
SCP - Containment Breach
ParrotPrediction/docker-course-xgboost
Materials for an online-course - "Practical XGBoost in Python"
barisesmer/C4.5
A python implementation of C4.5 algorithm by R. Quinlan
tofti/python-id3-trees
python implementation of classification trees
rmill040/citrees
Conditional inference trees
StarlangSoftware/Classification-Py
Machine learning library for classification tasks
ParrotPrediction/pyalcs
Implementation of Anticipatory Learning Classifiers System (ALCS) in Python
ParrotPrediction/openai-envs
OpenAI gym environments for Learning Classifier Systems
dilumb/Python-Gini-Index-Calculator
Python Code to Calculate Gini index/coefficient, Robin Hood index, & Lorenz curve
ParrotPrediction/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
KEHUIYAO/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
ParrotPrediction/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
ParrotPrediction/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow