Python Machine Learning By Example
Equipped with the latest updates, this third edition of Python Machine Learning By Example provides a comprehensive course for ML enthusiasts to strengthen their command of ML concepts, techniques, and algorithms.
Offered by
Difficulty Level
Intermediate
Completion Time
17h32m
Language
English
About Book
Who Is This Book For?
If you’re a machine learning enthusiast, data analyst, or data engineer highly passionate about machine learning and want to begin working on machine learning assignments, this book is for you. Prior knowledge of Python coding is assumed and basic familiarity with statistical concepts will be beneficial, although this is not necessary.
Python Machine Learning By Example
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 17h32m total length
Getting Started with Machine Learning and Python
Building a Movie Recommendation Engine with Naïve Bayes
Recognizing Faces with Support Vector Machine
Predicting Online Ad Click-Through with Tree-Based Algorithms
Predicting Online Ad Click-Through with Logistic Regression
Scaling Up Prediction to Terabyte Click Logs
Predicting Stock Prices with Regression Algorithms
Predicting Stock Prices with Artificial Neural Networks
Mining the 20 Newsgroups Dataset with Text Analysis Techniques
Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling
Machine Learning Best Practices
Categorizing Images of Clothing with Convolutional Neural Networks
Making Predictions with Sequences Using Recurrent Neural Networks
Making Decisions in Complex Environments with Reinforcement Learning
Related Resources
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