Pinned Repositories
10kGNAD
Ten Thousand German News Articles Dataset for Topic Classification
alpspitze
ki processing routines
Andreas-Sandbox
andreas_first_io
assets
boto3
AWS SDK for Python
dash-sample-apps
Apps hosted in the Dash Gallery
ds-hs-albsig
Code samples for data science study
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
ML_workshop
ML workshop (1-day interactive training session on ML basics)
strategiepilot's Repositories
strategiepilot/10kGNAD
Ten Thousand German News Articles Dataset for Topic Classification
strategiepilot/alpspitze
ki processing routines
strategiepilot/Andreas-Sandbox
strategiepilot/andreas_first_io
strategiepilot/assets
strategiepilot/boto3
AWS SDK for Python
strategiepilot/dash-sample-apps
Apps hosted in the Dash Gallery
strategiepilot/ds-hs-albsig
Code samples for data science study
strategiepilot/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
strategiepilot/ML_workshop
ML workshop (1-day interactive training session on ML basics)
strategiepilot/hello-world
Github Tutorial Andreas
strategiepilot/ktrain
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
strategiepilot/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
strategiepilot/MERN
MERN Tutorial Travis Media
strategiepilot/Nebelhorn
strategiepilot/NLP-Tutorial-8---Sentiment-Classification-using-SpaCy-for-IMDB-and-Amazon-Review-Dataset
NLP Tutorial 8 - Sentiment Classification using SpaCy for IMDB and Amazon Review Dataset
strategiepilot/QuickDive_ML
Quick ML Exercises
strategiepilot/scipy-2016-sklearn
Scikit-learn tutorial at SciPy2016
strategiepilot/september
strategiepilot/tensorflow-tutorials
Series of Tensorflow Tutorials
strategiepilot/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.