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Machine Learning With Python : An Approach Tp Applied Machine Learning
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Machine Learning With Python : An Approach Tp Applied Machine Learning

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About the Book: Machine Learning with Python

This book provides concept of machine learning with mathematical explanation and programming examples. Every chapter starts with fundamentals of the technique and working example on real world dataset. 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 worldwide accepted language for this. First, it is free and open source. It contains very good support from open community. It contains a lot of library, so you dont need to code everything. Also, it is scalable for large amount of data and suitable for big data technologies.

This book:

• Covers all major areas in Machine Learning.

• Topics are discussed with graphical explanations.

• Comparison of different Machine Learning methods to solve any problem.

• Methods to handle real world noisy data before applying any Machine Learning algorithm.

• Python code example for each concept discussed.

• Jupyter notebook scripts are provided with dataset used to test and try the algorithms


• Introduction to Machine Learning

• Understanding Python

• Feature Engineering

• Data Visualisation

• Basic and Advance Regression techniques

• Classification

• Un Supervised Learning

• Text Analysis

• Neural Network and Deep Learning

• Recommendation System

• Time Series Analysis

About the Author: Abhishek Vijayvargia

Abhishek Vijayvargia is a Data Scientist. He worked in IT industry and helped in solving real time problems related to data science and Machine Learning. He worked on analytics problems related to transportation, government process, manufacturing, oil and gas, IoT, pharmaceuticals, shipping. He has completed his Masters from Indian Institute of Technology(IIT), Kanpur in Artificial Intelligence. His research interests are distributed Machine Learning, Deep Learning, Stream Processing and Blockchain. He worked as mentor for various machine learning projects and trained others in Algorithm, Competitive Programming and Data Science.


Book: Machine Learning With Python : An Approach Tp Applied Machine Learning
ISBN-13: 9789386551931
Product Code EBK0420426
Binding: Paper Back
Publishing Date: 2018-02-20
Publisher: Bpb Publications
Number of Pages: 267
Language: English

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