Machine Learning Fundamentals with Python Training Course

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Course 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 Outline Course 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

Guaranteed to run even with a single delegate!
Public Classroom Public Classroom
Participants from multiple organisations. Topics usually cannot be customised
From 2839PLN
(88)
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 Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet
From 8050PLN
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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 Private Remote
1 2839PLN 8050PLN
2 2675PLN 5280PLN
3 2620PLN 4357PLN
4 2592PLN 3895PLN
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Upcoming Courses

VenueCourse DateCourse Price [Remote / Classroom]
Białystok, ul. Malmeda 1Wed, 2017-02-01 09:008050PLN / 3139PLN
Poznań, Garbary 100/63Mon, 2017-02-06 09:008050PLN / 3139PLN
Tarnów ul. Kościuszki 10 Mon, 2017-02-06 09:008050PLN / 3139PLN
Kielce, ul. Warszawska 19Tue, 2017-02-07 09:008050PLN / 3139PLN
Toruń, ul. Żeglarska 10/14Wed, 2017-02-08 09:008050PLN / 3039PLN

Course Discounts

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