Books I read and I suggest for the coding and data science and analytics journey.
See below book titles and short info and links to the Amazon book page.
Machine Learning Engineering with Python: Manage the production life cycle of machine learning models...
This book will help developers working with machine learning and Python.
AI-Powered Business Intelligence
Use business intelligence to power corporate growth, increase efficiency, and improve corporate decision-making.
40 Algorithms Every Programmer Should Know
Learn algorithms for solving classic computer science problems with this concise guide covering everything from fundamental algorithms, such as sorting and searching, to modern algorithms.
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow...
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning.
Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction To Programming
The best-selling Python book in the world, with over 1 million copies sold!
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective.