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Python-Machine-Learning-in-7-Days

, published by Packt

Python Machine Learning in 7 Days [Video]

This is the code repository for Python Machine Learning in 7 Days [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

About the Video Course

Machine learning is one of the most sought-after skills in the market. But have you ever wondered where to start or found the course not so easy to follow. With this hands-on and practical machine learning course, you can learn and start applying machine learning in less than a week without having to be an expert mathematician. In this course, you will be introduced to a new machine learning aspect in each section followed by a practical assignment as a homework to help you in efficiently implement the learnings in a practical manner. With the systematic and fast-paced approach to this course, learn machine learning using Python in the most practical and structured way to develop machine learning projects in Python in a week. This course is structured to unlock the potential of Python machine learning in the shortest amount of time. If you are looking to upgrade your machine learning skills using Python in the quickest possible time, then this course is for you!

What You Will Learn

  • Master the most important algorithms in machine learning
  • Make predictions based on data
  • Get an intuitive understanding of how machine learning works
  • Get an intuitive understanding of where to use which machine learning approach
  • How to use pre-written libraries in python to work with powerful algorithms
  • Learn advanced machine learning techniques like Neural Networks

Instructions and Navigation

Assumed Knowledge

To fully benefit from the coverage included in this course, you will need:
To fully benefit from the coverage included in this course, you will need: ● Prior working knowledge of Python ● An understanding of basic plotting and data cleaning techniques.

Technical Requirements

This course has the following software requirements:
This course has the following software requirements: ● Operating system: Linux , Windows or Mac ● Python, Latest Version ● Python Anaconda

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