Machine Learning

Evaluate the Performance Of Deep Learning Models in Keras

Last Updated on August 27, 2020 Keras is an easy to use and powerful Python library for deep learning. There are a lot of decisions to make when designing and configuring your deep learning models. Most of these decisions must be resolved empirically through trial and error and evaluating them on real data. As such, it is critically important to have a robust way to evaluate the performance of your neural networks and deep learning models. In this post you […]

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Machine Learning

Spot-Check Classification Machine Learning Algorithms in Python with scikit-learn

Last Updated on August 28, 2020 Spot-checking is a way of discovering which algorithms perform well on your machine learning problem. You cannot know which algorithms are best suited to your problem before hand. You must trial a number of methods and focus attention on those that prove themselves the most promising. In this post you will discover 6 machine learning algorithms that you can use when spot checking your classification problem in Python with scikit-learn. Kick-start your project with […]

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Machine Learning

Spot-Check Regression Machine Learning Algorithms in Python with scikit-learn

Last Updated on August 28, 2020 Spot-checking is a way of discovering which algorithms perform well on your machine learning problem. You cannot know which algorithms are best suited to your problem before hand. You must trial a number of methods and focus attention on those that prove themselves the most promising. In this post you will discover 6 machine learning algorithms that you can use when spot checking your regression problem in Python with scikit-learn. Kick-start your project with […]

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Machine Learning

Use Keras Deep Learning Models with Scikit-Learn in Python

Last Updated on August 27, 2020 Keras is one of the most popular deep learning libraries in Python for research and development because of its simplicity and ease of use. The scikit-learn library is the most popular library for general machine learning in Python. In this post you will discover how you can use deep learning models from Keras with the scikit-learn library in Python. This will allow you to leverage the power of the scikit-learn library for tasks like […]

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Machine Learning

How To Compare Machine Learning Algorithms in Python with scikit-learn

Last Updated on August 28, 2020 It is important to compare the performance of multiple different machine learning algorithms consistently. In this post you will discover how you can create a test harness to compare multiple different machine learning algorithms in Python with scikit-learn. You can use this test harness as a template on your own machine learning problems and add more and different algorithms to compare. Kick-start your project with my new book Machine Learning Mastery With Python, including […]

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Machine Learning

Multi-Class Classification Tutorial with the Keras Deep Learning Library

Last Updated on August 27, 2020 Keras is a Python library for deep learning that wraps the efficient numerical libraries Theano and TensorFlow. In this tutorial, you will discover how you can use Keras to develop and evaluate neural network models for multi-class classification problems. After completing this step-by-step tutorial, you will know: How to load data from CSV and make it available to Keras. How to prepare multi-class classification data for modeling with neural networks. How to evaluate Keras […]

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Machine Learning

Ensemble Machine Learning Algorithms in Python with scikit-learn

Last Updated on August 28, 2020 Ensembles can give you a boost in accuracy on your dataset. In this post you will discover how you can create some of the most powerful types of ensembles in Python using scikit-learn. This case study will step you through Boosting, Bagging and Majority Voting and show you how you can continue to ratchet up the accuracy of the models on your own datasets. Kick-start your project with my new book Machine Learning Mastery […]

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Machine Learning

Automate Machine Learning Workflows with Pipelines in Python and scikit-learn

Last Updated on August 28, 2020 There are standard workflows in a machine learning project that can be automated. In Python scikit-learn, Pipelines help to to clearly define and automate these workflows. In this post you will discover Pipelines in scikit-learn and how you can automate common machine learning workflows. Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials and the Python source code files for all examples. Let’s get started. Update Jan/2017: Updated […]

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Machine Learning

Binary Classification Tutorial with the Keras Deep Learning Library

Last Updated on August 27, 2020 Keras is a Python library for deep learning that wraps the efficient numerical libraries TensorFlow and Theano. Keras allows you to quickly and simply design and train neural network and deep learning models. In this post you will discover how to effectively use the Keras library in your machine learning project by working through a binary classification project step-by-step. After completing this tutorial, you will know: How to load training data and make it […]

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Machine Learning

Save and Load Machine Learning Models in Python with scikit-learn

Last Updated on August 28, 2020 Finding an accurate machine learning model is not the end of the project. In this post you will discover how to save and load your machine learning model in Python using scikit-learn. This allows you to save your model to file and load it later in order to make predictions. Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials and the Python source code files for all examples. […]

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