Machine Learning: Decision Trees and Random Forests Course

Short course

Online

Save 80%
£ 19 VAT inc.

Description

  • Type

    Short course

  • Methodology

    Online

  • Class hours

    24h

  • Duration

    12 Months

This excellent Machine Learning – Decision Trees & Random Forests course will teach you two helpful machine learning techniques, decision trees and random forests. If you’re someone who works in analytics, or with big data, this Machine Learning – Decision Trees & Random Forests course will help you to problem solve in a better way.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now closed

About this course


"•Design and Implement the solution to a famous problem in machine learning: predicting survival probabilities aboard the Titanic
•Understand the perils of overfitting, and how random forests help overcome this risk
•Identify the use-cases for Decision Trees as well as Random Forests
"


Those who needs to get to grips with machine learning, this course is for you, and it will help you to learn to use decision trees and random forests.

"•You must be 16 or over
•You should have a basic understanding of English, Maths and ICT
•You will need a computer or tablet with internet connection (or access to one)"



On receiving your request, one of our staff members will call you or send you a message by explaining everything about the course you are requesting information including how you can sign up, payment options, exam and enrollment requirements etc.

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Reviews

This centre's achievements

2018

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 7 years

Subjects

  • Numpy in Python
  • Ensemble Learning
  • Bagging
  • Cross-Validation
  • Overfitting
  • Installing Python
  • Numpy & Scipy in Python
  • Decision Tree Algorithms
  • Boosting & Stacking
  • The Bane of Machine Learning

Teachers and trainers (1)

Vitthal  Srinivasan

Vitthal Srinivasan

Flipkart, Credit Suisse and INSEAD

Course programme

"

· Module 01: Introduction: You, This Course & Us!

· Module 02: Planting the Seed: What Are Decision Trees?

· Module 03: Growing the Tree: Decision Tree Learning

· Module 04: Branching Out: Information Gain

· Module 05: Decision Tree Algorithms

· Module 06: Installing Python: Anaconda & Pip

· Module 07: Back To Basics: Numpy in Python

· Module 08: Back To Basics: Numpy & Scipy in Python

· Module 09: Titanic: Decision Trees Predict Survival (Kaggle) – I

· Module 10: Titanic: Decision Trees Predict Survival (Kaggle) – II

· Module 11: Titanic: Decision Trees Predict Survival (Kaggle) – III

· Module 12: Overfitting: The Bane of Machine Learning

· Module 13: Overfitting Continued

· Module 14: Cross-Validation

· Module 15: Simplicity Is a Virtue: Regularization

· Module 16: The Wisdom Of Crowds: Ensemble Learning

· Module 17: Ensemble Learning Continued: Bagging, Boosting & Stacking

· Module 18: Random Forests: Much More Than Trees

· Module 19: Back On the Titanic: Cross Validation & Random Forests

"

Additional information

Method of Assessment ·         You will have one assignment. Pass mark is 65%. ·         You will only need to pay £19 for assessment. ·         You will receive the results within 72 hours of submittal, and will be sent a certificate in 7-14 days.
What careers can you get with this qualification?  Once you have completed this Machine Learning – Deep Learning & Computer Vision: An Introduction course you will have desirable skills. You could go on to further study of this topic, or could gain entry level employment in analytics or big data. These roles often command a high salary, for example, the average salary of a Data Scientist in the UK is £43,318, and this will go up with experience (payscale.com). When you complete this Machine Learning – Deep Learning & Computer Vision: An Introduction, you could fulfil any of the following roles: Data Scientist Big Data Specialist Data Architect Data Analyst

Machine Learning: Decision Trees and Random Forests Course

£ 19 VAT inc.