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https://github.com/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.
https://github.com/dipanjans/practical-machine-learning-with-python
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
Last synced: about 22 hours ago
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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.
- Host: GitHub
- URL: https://github.com/dipanjans/practical-machine-learning-with-python
- Owner: dipanjanS
- License: apache-2.0
- Created: 2017-07-29T10:31:36.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2024-03-31T20:24:30.000Z (6 months ago)
- Last Synced: 2024-09-21T17:02:01.253Z (4 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
- Language: Jupyter Notebook
- Homepage:
- Size: 116 MB
- Stars: 2,257
- Watchers: 160
- Forks: 1,641
- Open Issues: 18
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Metadata Files:
- Readme: README.md
- License: LICENSE