data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Explore data science concepts and techniques through interactive Python notebooks.
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Free · no card · unsubscribe anytimeData science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
data-science-ipython-notebooks has 29.2k stars on GitHub. It has been forked 8k times. data-science-ipython-notebooks is written mainly in Python. It has been in active development since 2015. Its main topics are aws, big-data, caffe, data-science.
What is data-science-ipython-notebooks?
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Is data-science-ipython-notebooks open source?
data-science-ipython-notebooks is an open-source project.
Is data-science-ipython-notebooks free?
Yes. data-science-ipython-notebooks is free and open source — you can use, modify and self-host it.
What language is data-science-ipython-notebooks written in?
data-science-ipython-notebooks is written mainly in Python.
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