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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

Course Curriculum

Setting Up Test Environment
00:00
What is Python? 00:00:00
Installing Python 00:00:00
Installing Pycharm 00:00:00
Installing Anaconda 00:00:00
Machine Learning Basics
What is Machine Learning 00:00:00
Machine Learning Frameworks 00:00:00
Machine Learning Vocabulary 00:00:00
Supervised Machine Learning 00:00:00
Where Machine Learning is Used 00:00:00
Creating a basic house value estimator 00:00:00
Using scikit-learn 00:00:00
Loading a Dataset Part 1 00:00:00
Loading a Dataset Part 2 00:00:00
Making predictions – Part 1 00:00:00
Making predictions – Part 2 00:00:00

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      The course helped me channelize my time and effort. Since a large number of contents were available online, this particular course substantially increased my productivity by providing a , much needed, reference.
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