Machine Learning Examples

Various machine learning case studies, created as educational materials or showcases.

MAPE regression (training in Keras + geometric insights)
Mixture of Experts (fitting a mixture of models, such as NNs...)
Malfunction Likelihood by Recurrent Neural Networks, a case study on device failure temporal data
Anomaly Detection by Recurrent Neural Networks in Time Series Families (intraday data)
Random Embeddings vs PCA as Feature Extractors
Piecewise Linear Models trained by Bayesian Inference
Robust Feature Selection on Heart Disease Dataset
Autoencoders help in small dimension, case study on Framingham Heart Study Data
Hessian approximation for Neural Networks
Employee Attrition Model trained in Tensorflow and productionalized on Google Colab with REST API
Heat Waves Models, trained with various Python frameworks (statsmodels, GPFlow, PyMC3) and used for complex hypotheses testing
Hiring Bias Study, demonstrates the superiority of model-driven statistical insights over exploratory findings.

MLOps Examples

Some useful recipes

Name		Name	Last commit message	Last commit date
Latest commit History 139 Commits
.github/workflows		.github/workflows
AttritionModel_TF_UserAPI		AttritionModel_TF_UserAPI
approx_hessian		approx_hessian
docs		docs
efficient_softmax		efficient_softmax
src		src
ApproxHessian.ipynb		ApproxHessian.ipynb
ApproximateHessian.pdf		ApproximateHessian.pdf
BayesianVariationalInference.ipynb		BayesianVariationalInference.ipynb
DeviceFailureLikelihood.ipynb		DeviceFailureLikelihood.ipynb
ExpertsMixture.ipynb		ExpertsMixture.ipynb
LICENSE		LICENSE
MAPE.ipynb		MAPE.ipynb
README.md		README.md
RandomEmbeddings_vs_PCA.ipynb		RandomEmbeddings_vs_PCA.ipynb
RenyiEntropyEstimation.ipynb		RenyiEntropyEstimation.ipynb
SketchEngineScrapper.ipynb		SketchEngineScrapper.ipynb
TF_Hess_Visualize.ipynb		TF_Hess_Visualize.ipynb
TRNG_Depenendencies.ipynb		TRNG_Depenendencies.ipynb
Temporal_AnomDetect_NNs.ipynb		Temporal_AnomDetect_NNs.ipynb
Tweets_MoralFrames.ipynb		Tweets_MoralFrames.ipynb
conf.py		conf.py
efficient_crossentropy.ipynb		efficient_crossentropy.ipynb
index.md		index.md
ngrok_demo.ipynb		ngrok_demo.ipynb
tensorflow_profiling.ipynb		tensorflow_profiling.ipynb