best practice example data science

[mostafa705]

hi all !
Can anyone to help to introduce the best practice example reference or book for data science using python?
(I want only practice data science examples)
Thanks

[KianLynch]

Python for Data Analysis by Wes McKinney: This book provides a comprehensive introduction to data analysis using Python. It covers essential libraries such as NumPy, pandas, and Matplotlib, and includes practical examples and case studies.

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron: This book focuses on machine learning and covers popular libraries like Scikit-Learn, Keras, and TensorFlow. It provides hands-on examples and guides you through building various machine learning models.

Python Data Science Handbook by Jake VanderPlas: This book offers a practical approach to data science with Python. It covers essential libraries such as NumPy, pandas, Matplotlib, and Scikit-Learn, and includes code examples and tutorials.

Applied Predictive Modeling by Max Kuhn and Kjell Johnson: This book focuses on practical aspects of predictive modeling and machine learning. It covers various algorithms and techniques and provides examples using R and Python.

Kaggle: Kaggle is a popular platform for data science competitions and provides a vast collection of datasets and notebooks. You can find numerous data science examples and practice projects shared by the community.

DataCamp: DataCamp offers interactive online courses in Python for data science. They provide hands-on exercises and projects to apply your knowledge and practice data science concepts.

Towards Data Science: This is a popular online platform that publishes articles and tutorials on various data science topics. It covers a wide range of practical examples, case studies, and code snippets.

I often use these materials for practice.

buran write Oct-13-2023, 05:07 PM:
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