https://github.com/veb-101/machine-learning-practice

Contains code-works from the Hands on scikit-learn and tensorflow book
https://github.com/veb-101/machine-learning-practice

deep-learning keras machine-learning python3 scikit-learn tensorflow-gpu

Last synced: about 9 hours ago
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Contains code-works from the Hands on scikit-learn and tensorflow book

• Host: GitHub
• URL: https://github.com/veb-101/machine-learning-practice
• Owner: veb-101
• License: unlicense
• Created: 2019-08-02T14:18:44.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-05-04T19:19:00.000Z (over 4 years ago)
• Last Synced: 2023-03-05T12:33:16.055Z (over 1 year ago)
• Topics: deep-learning, keras, machine-learning, python3, scikit-learn, tensorflow-gpu
• Language: Jupyter Notebook
• Size: 4.5 MB
• Stars: 1
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Machine Learning practice

---

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/veb-101/Machine-Learning-practice/master) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/veb-101/Machine-Learning-practice/blob/master/)

This repository is for my own learning purposes.

Majority of the code in this repository comes from the original repository by [Aurélien Géron](https://github.com/ageron/handson-ml2)

| Sr. No. | Chapter                             | View                                                                                                                                                 |

| ------- | ----------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------- |

| 1       | The Machine Learning Landscape      | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-practice/blob/master/Chapter%201/The%20Machine%20Learning%20Landscape.ipynb) |

| 2       | End-to-End Machine Learning Project | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-practice/blob/master/Chapter%202/End-to-End%20ML%20Project.ipynb)            |

| 3       | Classification                      | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-practice/blob/master/Chapter%203/Classification.ipynb)                       |

| 4       | Training Linear Models              | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-practice/blob/master/Chapter%204/linear_models.ipynb)                        |

| 5       | Support Vector Machines             | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-practice/blob/master/Chapter%205/support%20vector%20machines.ipynb)          |

| 6       | Decision Tree Learning              | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-practice/blob/master/Chapter%206/decision_trees.ipynb)                       |

| 7       | Ensemble Learning                   | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-practice/blob/master/Chapter%207/Ensemble%20learning.ipynb)                  |

| 8       | Dimensionality Reduction            | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-practice/blob/master/Chapter%208/dim_reduction.ipynb)                        |

| 9       | Unsupervised Learning               | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-practice/blob/master/Chapter%209/unsupervised_learning.ipynb)                |