Data Science:Data Mining & Natural Language Processing in R
Harness the Power of Machine Learning in R for Data/Text Mining, & Natural Language Processing with Practical Examples
4.43 (431 reviews)
4 557
students
13.5 hours
content
Oct 2022
last update
$79.99
regular price
What you will learn
Perform the most important pre-processing tasks needed prior to machine learning in R
Carry out data visualization in R
Use machine learning for unsupervised classification in R
Carry out supervised learning by building classification and regression models in R
Evaluate the accuracy of supervised machine learning algorithms and compare their performance in R
Carry out sentiment analysis using text data in R
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Our Verdict
This R Programming course for Data Science enthusiasts is a solid choice with its comprehensive coverage of critical concepts and practical examples. However, the course falls short in providing adequate practice opportunities and clear explanations for some functions used in the demonstrations. Nonetheless, if you're looking to build a foundation in R programming for data science, this course can still be a valuable starting point.
What We Liked
- Comprehensive coverage of data analytics and machine learning concepts in R
- Practical examples that demonstrate real-world applications
- Clear explanation of regression concepts with real-world examples
- Well-organized course structure that caters to all levels of participants
- Effective use of practical exercises and quizzes for skill reinforcement
Potential Drawbacks
- Inadequate emphasis on code implementation best practices
- Lack of real-world case studies for practice and application
- Some instructions shown in the videos are outdated or do not work as shown
- Insufficient explanation of functions, methods, and their intuitions
Related Topics
1413580
udemy ID
29/10/2017
course created date
15/09/2019
course indexed date
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