Denis Panjuta
This course contains over 200 lessons, quizzes, practical examples, … – the easiest way if you want to learn Machine Learning.
Step by step I teach you machine learning. In each section you will learn a new topic – first the idea / intuition behind it, and then the code in both Python and R.
Machine Learning is only really fun when you evaluate real data. That’s why you analyze a lot of practical examples in this course:
Estimate the value of used cars
Write a spam filter
Diagnose breast cancer
All code examples are shown in both programming languages – so you can choose whether you want to see the course in Python, R, or in both languages!
After the course you can apply Machine Learning to your own data and make informed decisions:
You know when which models might come into question and how to compare them. You can analyze which columns are needed, whether additional data is needed, and know which data needs to be prepared in advance.
This course covers the important topics:
Regression
Classification
On all these topics you will learn about different algorithms. The ideas behind them are simply explained – not dry mathematical formulas, but vivid graphical explanations.
Instructor Details
Courses : 5
Specification: Machine Learning & Data Science Masterclass in Python and R
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8 reviews for Machine Learning & Data Science Masterclass in Python and R
Add a review
| Price | $14.99 |
|---|---|
| Provider | |
| Duration | 17 hours |
| Year | 2021 |
| Level | Beginner |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$14.99
Christian William Taylor –
I’m half way through now and I must say, it is super fun. Machine learning really looks like magic, as Denis says 😀
Jan Franken –
I really enjoy the Course so far. Really high Quality Content and a lot of fun.
Atul Marathe –
I find very good examples explained to understand concepts well
Kelley Johnson –
Other than the fact that there are NO videos for Python, descriptions were very clear.
Pritish Gupta –
The course is actually good for beginners but only for those who have some prior experience in machine learning. I would say its beginner friendly implementation course of the machine learning theory. The explanation is good but this doesn’t cover topics like SVM or Neural Networks, I think something as basic as the concept of Perceptron could have been introduced without going into too much depth (as the course is meant for beginners) but otherwise the explanation of the content is fantastic and the pace of the lectures is a bit slow but it works. The implementation of PROJECT was the best thing i found in the course as it really lets you get started. Overall the course is amazing for the content it has.
Raaj Dev –
Well informed..Concepts explained well in a simple manner..
Johnson chong –
It is a good course for Machine learning with Python and R programming language.
Sonny Plourde –
With C# Masterclass, Denis Panjuta is so far the best teacher of the web!