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
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.