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Step-by-Step Machine Learning with Python
Step-by-Step Machine Learning with Python

Step-by-Step Machine Learning with Python: Easy-to-follow examples that get you up and running with machine learning

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Profile Icon Yuxi (Hayden) Liu
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₱7042.99
Video Sep 2017 4hrs 56mins 1st Edition
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₱7042.99
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Arrow left icon
Profile Icon Yuxi (Hayden) Liu
Arrow right icon
₱7042.99
Video Sep 2017 4hrs 56mins 1st Edition
Video
₱7042.99
Subscription
Free Trial
Video
₱7042.99
Subscription
Free Trial

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Key benefits

  • Learn the fundamentals of machine learning and build your own intelligent applications
  • Master the art of building your own machine learning systems with this example-based practical guide
  • Work with important classification and regression algorithms and other machine learning techniques

Description

Data science and machine learning are some of the top buzzwords in the technical world today. The resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This video is your entry point to machine learning. It starts with an introduction to machine learning and the Python language and shows you how to complete the necessary setup. Moving ahead, you will learn all the important concepts such as exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression, and model performance evaluation. With the help of the various projects included, you will acquire the mechanics of several important machine learning algorithms, which will no longer seem obscure. Also, you will be guided step-by-step to build your own models from scratch. Toward the end, you will gather a broad picture of the machine learning ecosystem and master best practices for applying machine learning techniques. Throughout this course, you will learn to tackle data-driven problems and implement your solutions with the powerful yet simple Python language. Interesting and easy-to-follow examples—including news topic classification, spam email detection, online ad click-through prediction, and stock prices forecasts—will keep you glued to the screen till you reach your goal.

Who is this book for?

This course is for anyone interested in entering the data science stream with machine learning. a basic familiarity with Python is assumed.

What you will learn

  • Exploit the power of Python to handle data extraction, manipulation, and exploration techniques
  • Use Python to visualize data spread across multiple dimensions and extract useful features
  • Delve into the world of analytics to predict situations correctly
  • Implement machine learning classification and regression algorithms from scratch in Python
  • Be amazed to see algorithms in action
  • Evaluate the performance of a machine learning model and optimize it
  • Solve interesting, real-world problems using machine learning and Python as the journey unfolds

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 29, 2017
Length: 4hrs 56mins
Edition : 1st
Language : English
ISBN-13 : 9781788622370
Category :
Languages :

What do you get with a video?

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Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
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Product Details

Publication date : Sep 29, 2017
Length: 4hrs 56mins
Edition : 1st
Language : English
ISBN-13 : 9781788622370
Category :
Languages :

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Table of Contents

8 Chapters
Getting Started with Python and Machine Learning Chevron down icon Chevron up icon
Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms Chevron down icon Chevron up icon
Spam Email Detection with Naïve Bayes Chevron down icon Chevron up icon
News Topic Classification with Support Vector Machine Chevron down icon Chevron up icon
Click-Through Prediction with Tree-Based Algorithms Chevron down icon Chevron up icon
Click-Through Prediction with Logistic Regression Chevron down icon Chevron up icon
Stock Price Prediction with Regression Algorithms Chevron down icon Chevron up icon
Best Practices Chevron down icon Chevron up icon
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