This is the code repository for Hands-on Machine Learning for Data Mining [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
30% of data mining vacancies also involve machine learning. And those that do are 30% better paid than the rest. If you’re involved in data mining you need to get on top of machine learning, before it gets on top of you.
Hands-On Machine Learning for Data Mining gives you everything you need to bring the power of machine learning into your data mining work. This video course will enable you to pair the best algorithms with the right tools and processes. You will see how systems can learn from data, identify patterns and make predictions on data with minimal human intervention.
- Explore the lethal combination of Data Mining and Machine Learning to hone your model-building skills and improve your models.
- Understand the inner workings of your models
- Get to grips with three ways in which you can decipher how machine learning models can be interpreted
- Derive worthwhile insights from your data by developing efficient predictive models to predict future results accurately
- Maximize your productivity by analyzing your models and interpreting their accuracy in a well organized manner
- Combine the results of two or more models
To fully benefit from the coverage included in this course, you will need:
Basics of Data Mining and Machine Learning
This course has the following software requirements:
Atom IDE, Latest Version
Node.js LTS 8.9.1 Installed