konradsemsch Goto Github PK

aider

Perform everyday analytical and data science tasks more efficiently

alpaca-backtrader-api

Alpaca Trading API integrated with backtrader

aws-blog-adding-real-time-ml-predictions-for-your-amazon-aurora-database-part-2

compete

cookbook

A list curated list of ready-to-use recipes for your ML predictive models

deep-learning-with-r-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepl_frameworks_comparison

docker_examples

Basics of implementing APIs in Docker (Python)

ema_eda_notes

A walkthrough of a ML model feature engineering and validation process

embed-1

Extra recipes for categorical predictor embeddings

geo_konrad

An example of how to prepare raw Python code as a package ready for distribution.

ggrapid

Create neat & complete ggplot visualizations with as little code as possible

gluon-ts

Probabilistic time series modeling in Python

keras_tensorflow

minikube-basics

partial_dependance_plots

playground

My personal blog: 'Practitioners view on predictive modelling'

practical_auc_interpretation

profil_software_2021

python_references

A collection of various Python notebooks

python_shared_env

General purpose Python environment for Data Science & Machine Learning

recipes

A preprocessing engine to generate design matrices

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

scikit-survival

Survival analysis built on top of scikit-learn

secom

tmp

A temporary repo for starting new blogpost ideas

udacity-2021-agile-development-with-azure

udacity-2021-azure-infrastructure-operations-project

udacity-2021-building-cicd-pipeline-project

udacity-2021-flask-ml-azure-serverless