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Hands-on Scikit-learn for Machine Learning

You're reading from Hands-on Scikit-learn for Machine Learning Tackle real-world Machine Learning problems using Scikit-learn to quickly build a portfolio of practical Machine Learning tools

Product type Video

Published in Aug 2018

Publisher Packt

ISBN-13 9781789137132

Length 9hrs 3mins

Edition 1st Edition

Languages

Python

Tools

Scikit-learn

Concepts

Machine Learning

Author (1):

Farhan Nazar Zaidi

View More author details

Table of Contents (8) Chapters

1. Getting Started with a Simple ML Model in Scikit-learn

2. Classification Models FREE CHAPTER

3. Supervised Machine Learning – Regression

4. Unsupervised Learning —Dimensionality Reduction

5. Unsupervised Learning – Clustering

6. Improving ML Model Performance

7. Creating Pipelines and Advanced Model Selection

8. Handling Text Data with Scikit-learn

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Authors (1)

Farhan Nazar Zaidi

Farhan Nazar Zaidi

Farhan Nazar Zaidi has 25 years' experience in software architecture, big data engineering, and hands-on software development in a variety of languages and technologies. He is skilled in architecting and designing networked, distributed software systems and data analytics applications, and in designing enterprise-grade software systems. Farhan holds an MS in Computer Science from University of Southern California, Los Angeles, USA and a BS in Electrical Engineering from University of Engineering, Lahore, Pakistan. He has worked for several Silicon-Valley companies in the past in the US as a Senior Software Engineer, and also held key positions in the software industry in Pakistan. Farhan works as consultant, solutions developer, and in-person trainer on big data engineering, microservices, advanced analytics, and Machine Learning.

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