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Machine Learning & Data Science Masterclass in Python and R

Machine learning with many practical examples. Regression, Classification and much more
3.9
3.9/5
(60 reviews)
704 students
Created by

8.8

CourseMarks Score®

9.5

Freshness

6.5

Feedback

9.7

Content

Platform: Udemy
Video: 17h 4m
Language: English
Next start: On Demand

Top Machine Learning courses:

Detailed Analysis

CourseMarks Score®

8.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.5 / 10
This course was last updated on 1/2021 .

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

6.5 / 10
We analyzed factors such as the rating (3.9/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.7 / 10
Video Score: 10.0 / 10
The course includes 17h 4m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 15 minutes of 454 Machine Learning courses on Udemy.
Detail Score: 9.7 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

13 articles.
1 resources.
0 exercise.
0 test.

Table of contents

Description

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.
We use common tools (Sklearn, NLTK, caret, data.table, …), which are also used for real machine learning projects.

What do you learn?
•Regression:
•Linear Regression
•Polynomial Regression
•Classification:
•Logistic Regression

•Naive Bayes
•Decision trees
•Random Forest

You will also learn how to use Machine Learning:
•Read in data and prepare it for your model
•With complete practical example, explained step by step
•Find the best hyper parameters for your model
•”Parameter Tuning”

•Compare models with each other:
•How the accuracy value of a model can mislead you and what you can do about it
•K-Fold Cross Validation
•Coefficient of determination
My goal with this course is to offer you the ideal entry into the world of machine learning.

You will learn

✓ Create machine learning applications in Python as well as R
✓ Apply Machine Learning to own data
✓ You will learn Machine Learning clearly and concisely
✓ Learn with real data: Many practical examples (spam filter, is fungus edible or poisonous etc. …)
✓ No dry mathematics – everything explained vividly
✓ Use popular tools like Sklearn, and Caret
✓ You will know when to use which machine learning model

Requirements

• You should have programmed a little before.
• No knowledge of Python or R is required.
• All necessary tools (R, RStudio, Anaconda, …) will be installed together in the course.

This course is for

• Developers interested in Machine Learning

How much does the Machine Learning & Data Science Masterclass in Python and R course cost? Is it worth it?

The course costs $14.99. And currently there is a 83% discount on the original price of the course, which was $89.99. So you save $75 if you enroll the course now.
The average price is $17.2 of 454 Machine Learning courses on Udemy.

Does the Machine Learning & Data Science Masterclass in Python and R course have a money back guarantee or refund policy?

YES, Machine Learning & Data Science Masterclass in Python and R has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Machine Learning & Data Science Masterclass in Python and R course, but there is a $75 discount from the original price ($89.99). So the current price is just $14.99.

Who is the instructor? Is Denis Panjuta a SCAM or a TRUSTED instructor?

Denis Panjuta has created 37 courses that got 47,727 reviews which are generally positive. Denis Panjuta has taught 248,201 students and received a 4.5 average review out of 47,727 reviews. Depending on the information available, Denis Panjuta is a TRUSTED instructor.
Teaches over 200,000 students to code
Hi. I’m Denis. I have a degree in engineering from the University for Applied Science Konstanz in Germany and discovered my love for programming there.

Currently, over 200,000 students learn from my courses. This gives me a lot of energy to create new courses with the highest quality possible. My goal is to make learning to code accessible for everyone, as I am convinced, that IT is THE FUTURE! 

So join my courses and learn to create apps, games, websites, or any other type of application. The possibilities are limitless.




Hi. Ich bin Denis. Ich habe einen Bachelor in Wirtschaftsingenieurswesen der HTWG Konstanz und habe dort meine Begeisterung für’s Programmieren entdeckt.


Zur Zeit lernen bereits über 200.000 Studenten von meinen Kursen. Dies gibt mir extrem viel Motivation und Energie noch mehr und bessere Kurse zu erstellen. Mein Ziel ist es, das Programmierenlernen so zugänglich wie möglich zu machen, denn ich bin überzeugt, IT ist DIE ZUKUNFT!


Also tritt meinen Kursen bei und lerne wie man Webseiten, Apps, Spiele oder andere Programme entwickelt. Die Möglichkeiten sind grenzenlos.

8.8

CourseMarks Score®

9.5

Freshness

6.5

Feedback

9.7

Content

Platform: Udemy
Video: 17h 4m
Language: English
Next start: On Demand

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