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https://github.com/rishikesh-jadhav/machine-learning-practice-projects
This repository contains my end to end ML practice projects as a part of the ML zero to mastery course by Daniel Bourke and Andrei Neagoie
https://github.com/rishikesh-jadhav/machine-learning-practice-projects
classification data-science data-visualization dataanalysis deep-learning hadoop jupyter-notebooks machine-learning neural-network numpy pandas pyspark python pytorch regression scikit-learn supervised-learning tensorflow time-series transfer-learning
Last synced: 10 days ago
JSON representation
This repository contains my end to end ML practice projects as a part of the ML zero to mastery course by Daniel Bourke and Andrei Neagoie
- Host: GitHub
- URL: https://github.com/rishikesh-jadhav/machine-learning-practice-projects
- Owner: Rishikesh-Jadhav
- Created: 2024-02-09T20:25:33.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-02-18T20:40:12.000Z (12 months ago)
- Last Synced: 2024-11-22T10:56:14.394Z (2 months ago)
- Topics: classification, data-science, data-visualization, dataanalysis, deep-learning, hadoop, jupyter-notebooks, machine-learning, neural-network, numpy, pandas, pyspark, python, pytorch, regression, scikit-learn, supervised-learning, tensorflow, time-series, transfer-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 101 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md