Difficulty Level
Intermediate
Completion Time
15h8m
Language
English
About Book
Who Is This Book For?
If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.
Python Machine Learning
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 15h8m total length
Giving Computers the Ability to Learn from Data
Training Machine Learning Algorithms for Classification
A Tour of Machine Learning Classifiers Using Scikit-Learn
Building Good Training Sets – Data Pre-Processing
Compressing Data via Dimensionality Reduction
Learning Best Practices for Model Evaluation and Hyperparameter Optimization
Combining Different Models for Ensemble Learning
Applying Machine Learning To Sentiment Analysis
Embedding a Machine Learning Model into a Web Application
Predicting Continuous Target Variables with Regression Analysis
Working with Unlabeled Data – Clustering Analysis
Training Artificial Neural Networks for Image Recognition
Parallelizing Neural Network Training via Theano
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