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.

python machine-learning deep-learning tensorflow aws keras

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$4.77M

Market Value

$18.74M

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Growth over time

36 data points · 2018-09-01 → 2026-04-01

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What is the donnemartin/data-science-ipython-notebooks GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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