Download Best book for machine learning, AI and Data Scientist for python beginners PDF.

The hundred-page machine learning book PDF free download. Machine Learning, Artificial intelligent with Python. Practical Solutions from Preprocessing
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BOOK TITLE AUTHOR

1. Introduction to Machine Learning with Python pdf: A Guide for Data Scientists -(Greyscale Indian Edition)
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2. Machine Learning with Python Cookbook pdf: Practical Solutions from Preprocessing to Deep Learning. - Chris Albon
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3. Machine Learning with Python for Everyone pdf.
Dr. Mark Fenner
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4.  Hands-On Machine Learning with Scikit-Learn, Keras, and Tensor Flow pdf.
Aurelian Geron
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5. Python Data Science Handbook: Essential Tools for Working with Data, pdf.
Jake VanderPlas
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7.  Machine Learning with Python for Everyone pdf.


8. Python for Data Analysis pdf: Data Wrangling with Pandas, NumPy, and IPython, 2nd Edition,
Wes McKinney
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9. Matplotlib for Python Developers PDF, Second Edition: Effective techniques for data visualization with Python, 2nd Edition,
Aldrin Yim, Claire Chung,  Allen Yu. 
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10. Storytelling with Data PDF: A Data Visualization Guide for Business Professionals.
Cole Nussbaumer Knaflic

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11. Learn Python by Building Data Science Applications PDF.
David Katz , Philipp Kats

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12. Data Mining and Predictive Analytics PDF:
Daniel T. Larose
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13. Pattern Recognition and Machine Learning PDF (Information Science and Statistics) :
Christopher M. Bishop
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14.   Matplotlib for Python Developers PDF:
Aldrin Yim , Claire Chung, Allen Yu,
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15. Learning Scientific Programming with Python PDF: Christian Hill
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16. Practical Statistics for Data Scientists PDF: 50+ Essential Concepts Using R and Python:
Andrew Bruce, Andrew Bruce, Peter Gedeck,
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17.  Python Machine Learning By Example PDF: Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn, :
Yuxi (Hayden) Liu
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18. Python: Advanced Guide to Artificial Intelligence PDF: Expert machine learning systems and intelligent agents using Python: 
Giuseppe Bonaccorso, Armando Fandango
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19. Deep Learning with TensorFlow 2 and Keras PDF: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition: Antonio Gulli, Amita Kapoor, Sujit Pal
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20. Deep Learning (Adaptive Computation and Machine Learning series) PDF: Aaron Courville, Yoshua Bengio ,Ian Goodfellow
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Learning Scientific Programming with Python PDF 2nd Ed.

Christian Hill
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Web Development with Django PDF.
Ben Shaw, Saurabh Badhwar, Andrew Bird, Bharath Chandra K S, and Chris Guest

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About the author

D Shwari
I'm a professor at National University's Department of Computer Science. My main streams are data science and data analysis. Project management for many computer science-related sectors. Next working project on Al with deep Learning.....

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