Python Machine Learning By Example
Python Machine Learning by Example covers in detail the most important concepts, techniques, algorithms, and libraries that every data scientist or machine learning practitioner needs to know. This example-enriched guide will make your learning journey easier and happier, enabling you to solve real-world data-driven problems.
Offered by
Difficulty Level
Intermediate
Completion Time
12h44m
Language
English
About Book
Who Is This Book For?
If you’re a machine learning aspirant, data analyst, or data engineer highly passionate about machine learning and want to begin working on ML assignments, this book is for you. Prior knowledge of Python coding is assumed and basic familiarity with statistical concepts will be beneficial although not necessary.
Python Machine Learning By Example
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h44m total length
Getting Started with Machine Learning and Python
Exploring the 20 Newsgroups Dataset with Text Analysis Techniques
Mining the 20 Newsgroups Dataset with Clustering and Topic Modeling Algorithms
Detecting Spam Email with Naive Bayes
Classifying News Topic with Support Vector Machine
Predicting Online Ads Click-through with Tree-Based Algorithms
Predicting Online Ads Click-through with Logistic Regression
Scaling Up Prediction to Terabyte Click Logs
Stock Price Prediction with Regression Algorithms
Machine Learning Best Practices
Related Resources
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