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

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Udemy

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.

Explore the full course on Udemy with a discount by using the following link: https://www.udemy.com/machinelearning...

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 stepbystep into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative subfield of Data Science.

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