donnemartin/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.
$ git clone https://github.com/donnemartin/data-science-ipython-notebooks.git
stars
29,253
forks
8,026
language
Python
license
Other
What is donnemartin/data-science-ipython-notebooks?
This repository contains a collection of Jupyter notebooks covering data science and machine learning topics, including deep learning frameworks (TensorFlow, Keras, Theano, Caffe), data analysis libraries (pandas, NumPy, scikit-learn), big data tools (Spark, Hadoop), and AWS services. Developers can use these notebooks as educational resources and practical references when learning data science concepts or implementing solutions involving machine learning, data processing, and cloud infrastructure. The notebooks provide working code examples across Python essentials, visualization with matplotlib, and various command-line tools relevant to data science workflows.
Links
Topics
Activity
46 open issues · last updated Jul 22, 2026