Machine Learning in 1 Hour: Simple Linear Regression | Learn to create Machine Learning Algorithms

In this video, Machine Learning in One Hour: Simple Linear Regression, Udemy instructors Kirill Eremenko & Hadelin de Ponteves will be looking at Simple Linear Regression, basic Machine Learning approach for predicting the unknown value of a variable from the known value of another variable. Basic doesn't mean ineffective.

Simple linear regression is a statistical method that allows us to summarize and study relationships between two continuous (quantitative) variables. This lesson introduces the concept and basic procedures of simple linear regression. We will also learn two measures that describe the strength of the linear association that we find in data.

Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.

What you'll learn:
- Master Machine Learning on Python & R
- Have a great intuition of many Machine Learning models
- Make accurate predictions
- Make powerful analysis
- Make robust Machine Learning models
- Create strong added value to your business
- Use Machine Learning for personal purpose
- Handle specific topics like Reinforcement Learning, NLP and Deep Learning
- Handle advanced techniques like Dimensionality Reduction
- Know which Machine Learning model to choose for each type of problem
- Build an army of powerful Machine Learning models and know how to combine them to solve any problem

Interested in the field of Machine Learning? Then this course is for you!

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.

We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

#MachineLearning
#Artificial Intelligence

#Udemy
#ITeachOnUdemy

Share your story with #BeAble

[anushkashree]

Sharp, crisp and to the point explanation

[Amr-hbwh]

Thanks for the explanation, however, I still have quiet few questions. At first you have set your random set factor to 0. How does this influence your results at the end if it wasn’t set to 0. Also, the size.. is this how you had your Salaries test ? How could we have had it without doing this method ? Thanks again for the video.

[bennguyen]

It's interesting how simple algorithms like linear regression are considered part of "machine learning and 'Machine Learning' is considered a subset of AI.

[bulaloitech]

Can someone tell me what is the #feature scaling ?