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This Machine Learning for Python Developers training course will provide you with an introduction to core Machine Learning techniques: you will get an overview of the Machine Learning landscape as well as tools and resources in Python.

 

Learning Objectives

  •     To have a familiarity with the Machine Learning landscape
  •     Understand the different types of Machine Learning algorithms
  •     Identify suitable Machine Learning techniques for different types of data
  •     To be understand how to implement and evaluate basic Machine Learning algorithms in Python

Machine Learning for Python Developers Training

Course Code

GTMLP

Duration

1 Day Lecture

Course Fee

POA

Accreditation

N/A

Target Audience

This is ideally suited for Python developers. No Machine Learning experience is required.

Attendee Requirements

Proficiency in Python development including: array manipulations with NumPy, loading libraries, and plotting using Matplotlib.


We are sorry, there is currently no availability on this course.

contact us for more information

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Course Description

This Machine Learning for Python Developers training course will provide you with an introduction to core Machine Learning techniques: you will get an overview of the Machine Learning landscape as well as tools and resources in Python.

 

Learning Objectives

  •     To have a familiarity with the Machine Learning landscape
  •     Understand the different types of Machine Learning algorithms
  •     Identify suitable Machine Learning techniques for different types of data
  •     To be understand how to implement and evaluate basic Machine Learning algorithms in Python
Course Outline

Introduction

  •     A high level overview of key Machine Learning concepts

Topic 1

  •     Introduction to Regression: a supervised learning technique
  •     Regression analysis
  •     Regression demonstration

Topic 2

  •     Working with data
  •     Feature transformation introduction and demonstration
  •     Feature selection introduction and demonstration

Topic 3

  •     Introduction to clustering: an unsupervised learning technique
  •     Clustering demonstration

Topic 4

  •     Introduction to data classification
  •     Classifying data using Naïve Bayes demonstration

Topic 5

  •     Introduction to time-series analysis
  •     Time series analysis demonstration

Topic 6

  •     Introduction to Neural Networks
  •     Demonstration of Multilayer perceptrons
Ways to Attend
  • Attend a public course, check our schedule
  • Private onsite Team training also available

 

Sorry, we are not taking bookings on this course at present

However, this course may be available as a private team training course. If you would like to contact us for more information on this course, you may do so here:

Private Team Training | Contact us

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Private Team Training

Our instructors are specialist consultants with vast real world experience and expertise allowing them to design and deliver client-focused courses for your organisation.

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What Our Clients Say

“Very interesting course from an excellent instructor. Highly technical and well delivered”

 

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