Machine Learning Fundamentals with Python Training Course

Course CodeCourse Code

mlfunpython

Duration Duration

14 hours (usually 2 days including breaks)

Requirements Requirements

Knowledge of Python programming language. Basic familiarity with statistics and linear algebra is recommended.

Overview Overview

The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.

Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.

Course OutlineCourse Outline

Introduction to Applied Machine Learning

  • Statistical learning vs. Machine learning
  • Iteration and evaluation
  • Bias-Variance trade-off

Machine Learning with Python

  • Choice of libraries
  • Add-on tools

Regression

  • Linear regression
  • Generalizations and Nonlinearity
  • Exercises

Classification

  • Bayesian refresher
  • Naive Bayes
  • Logistic regression
  • K-Nearest neighbors
  • Exercises

Cross-validation and Resampling

  • Cross-validation approaches
  • Bootstrap
  • Exercises

Unsupervised Learning

  • K-means clustering
  • Examples
  • Challenges of unsupervised learning and beyond K-means

Bookings, Prices and EnquiriesBookings, Prices and Enquiries

Guaranteed to run even with a single delegate!
Private Classroom
 
Private Classroom
Participants are from one organisation only. No external participants are allowed. Usually customised to a specific group, course topics are agreed between the client and the trainer.
Private Remote
From 8050PLN
Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet. More Information

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Private Remote
1 8050PLN
2 5280PLN
3 4357PLN
4 3895PLN
Public Classroom
From 2839PLN
(72)
Public Classroom
Participants from multiple organisations. Topics usually cannot be customised

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Public Classroom
1 2839PLN
2 2675PLN
3 2620PLN
4 2592PLN
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Upcoming Courses

VenueCourse DateCourse Price [Remote / Classroom]
Zakopane, ul. Jagiellońska 30 Tue, 2018-02-06 09:008050PLN / 3139PLN
Warszawa, ul. Złota 3/11Tue, 2018-02-06 09:008050PLN / 2839PLN
Wrocław, ul.Ludwika Rydygiera 2a/22Wed, 2018-02-14 09:008050PLN / 2839PLN
Gliwice ul. Karola Marksa 11 Wed, 2018-02-14 09:008050PLN / 3139PLN
Szczecin, ul. Sienna 9Wed, 2018-02-14 09:008050PLN / 2939PLN

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