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The world is approaching a point where big data will start to play
a beneficial role in many industries and organizations. Today,
analyzing data for new insights has become an everyday norm,
increasing the need for data analysts to use efficient and
appropriate tools to provide quick and valuable results to clients.
Existing research in the field currently lacks a full coverage of
all essential algorithms, leaving a knowledge void for practical
implementation and code in Python with all needed libraries and
links to datasets used. Advanced Interdisciplinary Applications of
Machine Learning Python Libraries for Data Science serves as a
one-stop book to help emerging data scientists gain hands-on skills
needed through real-world data and completely up-to-date Python
code. It covers all the technical details, from installing the
needed software to importing libraries and using the latest data
sets; deciding on the right model; training, testing, and
evaluating the model; and including NumPy, Pandas, and matplotlib.
With coverage on various machine learning algorithms like
regression, linear and logical regression, classification, support
vector machine (SVM), clustering, k-nearest neighbor, market basket
analysis, Apriori, k-means clustering, and visualization using
Seaborne, it is designed for academic researchers, undergraduate
students, postgraduate students, executive education program
leaders, and practitioners.
This proceedings volume documents the contributions presented at
the CONIAPS XXVII international Conference on Recent Advances in
Pure and Applied Algebra. The entries focus on modern trends and
techniques in various branches of pure and applied Algebra and
highlight their applications in coding theory, cryptography, graph
theory, and fuzzy theory.
The EU is a major trade partner with India, and economic linkages
continue to deepen. India and the EU have increased their political
interactions and are crucial partners in promoting sustainable
development. Recent trends in India-EU relations show that New
Delhi and Brussels are keen to expand their partnership in multiple
areas, including sustainable development and natural resources
management. This volume takes a unique approach to exploring the
efficient management of resources in the era of resource depletion
due to climate changes and business expansion, in conjunction with
considering the multiple dimensions of India-European Union
cooperation. It analyzes regional and global trends in the process
of globalization and sustainable development, particularly in the
context of natural resource management and resource efficiency. It
offers a variety of perspectives through useful and current
information in this field, providing a concise and holistic
understanding of the issues and challenges faced when exploiting
natural resources for sustainable and efficient resource
utilization.
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