Data Science and Machine Learning with Python - Hands On! [Video]

More Information
  • Learn how to clean your data and ready it for analysis
  • Implement the popular clustering and regression methods in Python
  • Train efficient machine learning models using Decision Trees and Random Forests
  • Visualize the results of your analysis using Python’s Matplotlib library
  • Visualize the results of your analysis using Python’s Matplotlib library

The job of a data scientist is one of the most lucrative jobs out there today – it involves analyzing large amounts of data, and gathering actionable business insights from it using a variety of tools. This course will help you take your first steps in the world of data science, and empower you to conduct data analysis and perform efficient machine learning using Python. Gain value from your data using the various data mining and data analysis techniques in Python, and develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. You don’t have to be an expert coder in Python to get the most out of this course – just a basic programming knowledge of Python is sufficient.

  • Take your first steps in the world of data science by understanding the tools and techniques of data analysis
  • Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods
  • Learn how to use Apache Spark for processing Big Data efficiently
Course Length 8 hour 52 minutes
ISBN 9781787127081
Date Of Publication 20 Sep 2016


Frank Kane

Frank Kane - Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.