icon
Quality Score

Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/

Overall Score : 80 / 100

icon
Course Description

Machine learning relates to many different ideas, programming languages, frameworks. Machine learning is difficult to define in just a sentence or two. But essentially, machine learning is giving a computer the ability to write its own rules or algorithms and learn about new things, on its own. In this course, we'll explore some basic machine learning concepts and load data to make predictions. Value estimation- "one of the most common types of machine learning algorithms- "can automatically estimate values by looking at related information. For example, a website can determine how much a house is worth based on the property's location and characteristics.
In this course, we will use machine learning to build a value estimation system that can deduce the value of a home. Although the tool we will build in this course focuses on real estate, you can use the same approach to solve any kind of value estimation.What you'll learn include:
  • Basic concepts in machine learning
  • Supervised versus Unsupervised learning
  • Machine learning frameworks
  • Machine learning using Python and scikit-learn
  • Loading sample dataset
  • Making predictions based on dataset
  • Setting up the development environment
  • Building a simple home value estimator
The examples in this course are basic but should give you a solid understanding of the power of machine learning and how it works.
Who this course is for:
  • Absolute beginners to Machine Learning

icon
Instructor Details

placeholder

Bluelime is UK based and creates quality easy to understandeLearningsolutions .All our courses are 100% video based. We teach hands - "on- examplesthat teach real life skills .

Bluelime has engaged in various types of projects for fortune 500 companies and understands what is required to prepare students with the relevant skills they need.

icon
Reviews

4.0

14 total reviews

5 star 4 star 3 star 2 star 1 star
% Complete
% Complete
% Complete
% Complete
% Complete

By Diemesleno Souza Carvalho

Curso excelente para quem quer aprender o básico sobre aprendizado de máquina.

By Dhamodaran

Wonderful

By Steven R

Great intro with practical examples.

By Subhasree Mondal

It was short, brief and up to the point. I think it's not only helpful for beginners, but also for the people who already knows, in case if they need to brush up the skills once more after a long gap.

By Kaminee Gaikwad

kindly add some practice exercises for more understanding

By Manish Agarwal

course content is too basic.Instructor is repetitive. I expect that at-least algorithm should be talked about. but instructor talked about just one API of sci-kit library

By Basit Dilawaiz

Machine Learning Vocabulary is not explained.

By Alfio Sauri

Just a simple understanding of a [Few] key concepts. However, to be a beginner course, it would have been helpful to walk the datasets and make a clear differentiation between machine learning and artificial intelligence. Additionally, a few more framework explanations and not just naming them.

I got about the value for the course I pay for. But I most likely will not take any further course with this instructor.

By Nishet Vyas

It's good for those student who are started machine learning ,it's provide basic understand about basic machine learning with good detail.

By Debu B

Understandable.

By Krishna Vinnakota

Very poor course, don't waste your money and time on this course.

By Estela Carbone

Excelent as an introduction to Machine Learning.