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Jupyter Notebook Manifesto: Best practices that can improve the life of any developer using Jupyter notebooks | Google Cloud Blog
GitHub - pplonski/data-science-portfolio: Data Science Portfolio website created with Jupyter notebooks and Mercury
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GitHub - mart-anthony-stark/Machine-Learning-and-Deep-Learning: A repository of my activities, jupyter notebooks, datasets, projects, and resources used in machine learning algorithms for data science and deep learning
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GitHub - tirthajyoti/Machine-Learning-with-Python: Practice and tutorial-style notebooks covering wide variety of machine learning techniques
![GitHub - 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 ... GitHub - 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 ...](https://raw.githubusercontent.com/donnemartin/data-science-ipython-notebooks/master/images/README_1200x800.gif)
GitHub - 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 ...
GitHub - maykulkarni/Machine-Learning-Notebooks: Machine Learning notebooks for refreshing concepts.
GitHub - FatehMuhammad/Supervised-Machine-Learning-Regression-and-Classification: This repository is composed of Solution notebooks for Course 1 of Machine Learning Specialization taught by Andrew N.g. on Coursera. You can take a look, if you are unable
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