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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -21,7 +21,7 @@ The first part of the book is mostly based on `Scikit-Learn`, while the 2nd part
### The Fundamentals of Machine Learning

We provide links for the available notebooks:
- [The Machine Learning Landscape](https://nbviewer.jupyter.org/github/Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/blob/master/01.ML_Landscape.ipynb)
- [The Machine Learning Landscape](https://nbviewer.jupyter.org/github/majid3399769/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/blob/master/01.ML_Landscape.ipynb)
- [End-to-End Machine Learning Project](https://nbviewer.jupyter.org/github/Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/blob/master/02.End-to-End-ML-Project.ipynb)
- [Classification](https://nbviewer.jupyter.org/github/Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/blob/master/03.Classification.ipynb)
- [Training Models](https://nbviewer.jupyter.org/github/Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/blob/master/04.Training-Models.ipynb)
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6 changes: 6 additions & 0 deletions requirements.txt
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scikit-learn
pandas
keras
numpy
seaborn
tensorflow