Data Science and Machine Learning Using Python

Chapter 1 Basics of Python Programming 
Chapter 2 Revisiting Data Structures in Python 
Chapter 3 Functions and Modules 
Chapter 4 Data Handling Using Numpy 
Chapter 5 Python Pandas 
Chapter 6 Plotting Graphs 
Chapter 7 File Handling 
Chapter 8 Advanced Data Analytics 
Chapter 9 Interfacing Python with MySQL 
Chapter 10 Introduction to Machine Learning 
Chapter 11 Regression Analysis in Machine Learning 
Chapter 12 Classification and Clustering 
Chapter 13 Advanced Learning 
Appendices (Available Online)

Overview:

Data Science and Machine Learning Using Python, introduces Python programming concepts tailored for data science and machine learning, empowering readers to solve real-world problems effectively. Written with the growing interest and applications of data science in mind, this book is ideal for undergraduate students and aspiring professionals. Featuring programming examples, and hands-on exercises, it bridges the foundational knowledge with advanced techniques, ensuring a practical and application based learning experience.


Key Features:

- New chapter on Advanced Data Analytics 
- Enhanced coverage on data visualization, business intelligence, and neural networks 
- Expanded coverage on model evaluation and optimization techniques 
- Refresher on Python programming with NumPy and Pandas libraries 
- Solved programs, exercises, and datasets for hands-on-practice 
- Business scenarios and examples for real-world applications