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Unlock deeper insights into Machine Learning with this vital guide to cutting-edge predictive analytics.

Course Description

Machine learning and predictive analytics are transforming the way that businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, and is becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data. Its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success.
This course gives you access to the world of predictive analytics and demonstrates why Python is one of the world’s leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science course is invaluable. It covers a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and features guidance and tips on everything from sentiment analysis to neural networks. With this video, you’ll soon be able to answer some of the most important questions facing you and your organization.
This step-by-step guide will walk you through connecting the fundamental theory of machine learning with practical tips for implementation using Python, complete with visualizations and hands-on code examples.

Learning Outcomes

  • Discover the different types of machine learning and know when to use them
  • Explore machine learning algorithms and implement them in Python
  • Use powerful open source machine learning libraries to train predictive models
  • Use pandas, NumPy, and matplotlib to manipulate data
  • Evaluate and fine-tune machine learning models


Prior knowledge of Python is needed.

Who is this course intended for?

If you want to find out how to use Python to start answering critical questions using your data, this video is ideal. Whether you want to get started from scratch or want to extend your data science knowledge, this is an essential resource.

Your Instructor

Packt Publishing

Packt has been committed to developer learning since 2004. A lot has changed in software since then – but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.

With an extensive library of content – more than 4000 books and video courses -Packt’s mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages to cutting-edge data analytics, and DevOps, Packt takes software professionals in every field to what’s important to them now.

From skills that will help you to develop and future-proof your career to immediate solutions to everyday tech challenges, Packt is a go-to resource to make you a better, smarter developer.

Course Curriculum

Giving Computers the Ability to Learn from Data
The Course Overview 00:00:00
Transforming Data into Knowledge 00:00:00
Types of Machine Learning 00:00:00
Training Machine Learning Algorithms for Classification
Implementing a Perceptron Algorithm in Python 00:00:00
The Iris Dataset 00:00:00
Training the Perceptron 00:00:00
Improving the Visualization 00:00:00
Adaline in Python 00:00:00
Feature Standardization 00:00:00
Implementing Adaline 00:00:00
A Tour of Machine Learning Classifiers Using Scikit-Learn
Scikit-Learn Perceptron 00:00:00
Logistic Regression in Scikit-Learn 00:00:00
Predicting Class Probabilities 00:00:00
Training a Support Vector Machine in Scikit-Learn 00:00:00
The Effect of Gamma 00:00:00
Decision Trees 00:00:00
Building Good Training Sets – Data Preprocessing
Handling Data 00:00:00
Mapping Ordinal Features 00:00:00
Feature Scaling 00:00:00
Feature Importance’s with Random Forests 00:00:00

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