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GitHub / dipanjanS / practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dipanjanS%2Fpractical-machine-learning-with-python

Stars: 2,316
Forks: 1,648
Open issues: 20

License: apache-2.0
Language: Jupyter Notebook
Size: 116 MB
Dependencies parsed at: Pending

Created at: almost 8 years ago
Updated at: 28 days ago
Pushed at: about 1 year ago
Last synced at: 27 days ago

Topics: classification, clustering, computer-vision, convolutional-neural-networks, deep-learning, jupyter, jupyter-notebook, keras, machine-learning, natural-language-processing, nltk, notebook, pandas, prophet, python, scikit-learn, spacy, statsmodels, tensorflow, time-series-analysis

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