Machine Learning (ML) with Python [eBook]

Abhishek Vijayvargia

Design and Develop Machine Learning and Deep Learning Technique using real world code examples

Updated on Jun, 2025

Programming, Data Science,

Formats : PDF (Downlodable)

ISBN : 9789386551931

Develop and implement your own Machine Learning Models to solve real-world problems

This book provides the concept of machine learning with mathematical explanations and programming examples. Every chapter starts with fundamentals of the technique and working examples on real-world datasets. Along with the advice on applying algorithms, each technique is provided with advantages and disadvantages on the data. In this book, we provide code examples in Python. Python is the most suitable and widely accepted language for this. First, it is free and open source. It contains very good support from the open community. It contains a lot of libraries, so you don’t need to code everything. Also, it is scalable for large amounts of data and suitable for big data technologies.

Building a machine learning model that is used in industries to solve data-related problems.

This book is helpful for all types of readers. Whether you want to start in machine learning or want to learn the concepts more or practice with the code, it provides everything. We recommend users learn the concept and practice it using sample code to get the full benefit of this book.

Understanding Python.

Feature Engineering.

Basic and Advance Regression techniques.

Un Supervised Learning.

Neural Network and Deep Learning.

Recommendation System.

Time Series Analysis.

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