You're reading from Hands-On Predictive Analytics with Python

Product typeBook

Published inDec 2018

Reading LevelIntermediate

PublisherPackt

ISBN-139781789138719

Edition1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Predictive Analytics

Author (1)

Alvaro Fuentes

Friedman, J., Hastie, T., & Tibshirani, R. (2001). The elements of statistical learning. Springer series in statistics.
Kuhn, M., & Johnson, K. (2013). Applied predictive modeling. Springer.
Pedregosa, F. et. al. (2011). Scikit-learn: Machine learning in Python. In Journal of machine learning research.
Raschka, S., & Mirjalili, V. (2017). Python machine learning. Packt Publishing.
Weinberger, K. Q., Blitzer, J., & Saul, L. K. (2006). Distance metric learning for large margin nearest neighbor classification. In Advances in neural information processing systems (pp. 1473-1480).

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Hands-On Predictive Analytics with Python

Published in: Dec 2018Publisher: PacktISBN-13: 9781789138719

Author (1)

Alvaro Fuentes

Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three' global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.
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Author (1)

Mastering Predictive Analytics with scikit-learn and TensorFlow

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