https://github.com/farshidnooshi/hands-on-machine-learning

Practice codes of the book Hands-on Machine Learning 2
https://github.com/farshidnooshi/hands-on-machine-learning

artificial-intelligence deep-learning keras machine-learning pandas python scikit-learn tensorflow

Last synced: 13 days ago
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Practice codes of the book Hands-on Machine Learning 2

• Host: GitHub
• URL: https://github.com/farshidnooshi/hands-on-machine-learning
• Owner: FarshidNooshi
• License: mit
• Created: 2022-03-20T10:33:08.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2022-07-27T04:42:31.000Z (over 2 years ago)
• Last Synced: 2024-10-04T20:24:53.284Z (about 1 month ago)
• Topics: artificial-intelligence, deep-learning, keras, machine-learning, pandas, python, scikit-learn, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 2.82 MB
• Stars: 5
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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In The Name of GOD



# Machine Learning Notebooks

## Introduction

In this repository I will share my steps toward learning tensorflow, keras, sklearn, pandas, numpy with respect to the very great book of 

'Hands On Machine Learning with Scikit Learn, Keras, and TensorFlow'. most of the codes are from the book but I have personally manipulated some of them 

so that I could learn the main concepts and classes and librararies materials.

I am happy to share my walksteps to learn Machine Learning approaches deeper in this repository.

I've implemented a regression project for predicting house prices and a binary classifier for predition of 5s on MNIST dataset.