DataScience

Collection of research and learning content for ML and Datascience

This is just in first a collection of research and learning for Datascience and ML Engineering. Common use of Framework like Tensorflow, Scikit Learn, Keras etc. some input comes directly from my own online study or playing around with techniques
The Idea is to use this as an ongoing Project and build up of code snippets based on Jupyter Notebooks to reuse it whereever you want
Further Projects should be startet on this bases...maybe

Name		Name	Last commit message	Last commit date
Latest commit History 30 Commits
Resources		Resources
bulldozer-price-prediction-project		bulldozer-price-prediction-project
heart-disease-project		heart-disease-project
0.jpeg		0.jpeg
Introduction_Matplotlib.ipynb		Introduction_Matplotlib.ipynb
README.md		README.md
SciKit Learn Introduction.ipynb		SciKit Learn Introduction.ipynb
Testing and Playing around with Python from Kaggle Exercises.ipynb		Testing and Playing around with Python from Kaggle Exercises.ipynb
example-notebook.ipynb		example-notebook.ipynb
introduction_2_numpy.ipynb		introduction_2_numpy.ipynb
introduction_to_pandas.ipynb		introduction_to_pandas.ipynb
matplotlib-exercises.ipynb		matplotlib-exercises.ipynb
matplotlib-exercises_no_solutions.ipynb		matplotlib-exercises_no_solutions.ipynb
numpy_exercise.ipynb		numpy_exercise.ipynb
pandas-exercises.ipynb		pandas-exercises.ipynb
test.txt		test.txt

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