Machine Learning 2022: Practical Regression Psychoanalysis in R — Udemy — Survive updated 1/2021 — Free download
Learn Complete Hands-Happening Simple regression Analysis in R for Machine Encyclopedism, Applied math Analysis, Data Science, Deep Learning
Regression Analytic thinking for Car Learning & Data Science in R
My run testament be your workforce-connected guide to the hypothesis and applications ofsupervised machine learningwith the nidus on regression analysis using the R-programming language.
Unlike other courses, it offers NOT ONLY the guided demonstrations of the R-scripts merely also covers theoretical background that will allow you to FULLY UNDERSTAND & APPLY REGRESSION ANALYSIS (Rectilinear regression, Random Afforest, KNN, etc) in R (many R packages incl. caret packet will be covered) for supervised machine learning and prevision tasks.
This course also covers all themain aspects of practical and highly applied data science related to Motorcar Learning (i.e. regression analysis). Therefore, if you take this course, you will save slews of sentence & money happening other expensive materials in the R based Data Science and Machine Learning domain.
THIS COURSE HAS 8 SECTIONS COVERING EVERY ASPECT OF MACHINE LEARNING: BOTH THEORY &adenylic acid; PRACTISE
- Fully understand the rudiments of Regression Depth psychology (parametric &adenylic acid; not-parametric methods) & supervised Machine Learning from theory to practice
- Harness applications of parametric and not-constant regressions in R
- Learn how to apply correctly regression models and try out them in R
- Learn how to take the best statistical & auto learning model for your job
- Fulfill coding exercises & your independent project assignment
- Learn the basics of R-programming
- Buzz off a copy of all scripts utilised in the course of action
- and More than
NO PRIOR R OR STATISTICS/MACHINE LEARNING / R KNOWLEDGE REQUIRED:
You'll start by absorbing the most valuable Regression Analysis & R-programming basics, and techniques. I use easy-to-understand, workforce-on methods to simplify and call even the most difficult concepts in R.
My course wish help you implement the methods using real data obtained from several sources. Thus, after completing my Regression Analytic thinking for Machine Erudition in R course, you'll easily use different information streams and data science packages to work with proper data in R.
In case information technology is your first encounter with R, preceptor't worry, my flow from a full introduction to the R &A; R-programming in this course.
This flow from is different from other training resources. All lecture seeks to enhance your Infantile fixation moulding and Machine Eruditeness skills in a obvious and easy-to-follow manner and provide you with much implementable solutions. You'll be fit to start analyzing different streams of information for your projects and gain appreciation from your future employers with your improved machine learning skills and knowledge of cutting off edge in information scientific discipline methods.
The course is ideal for professionals who motivation to use cluster analysis, unattended machine learning, and R in their subject area.
One historic part of the course is the practical exercises. You will run around precise instructions and datasets to run Machine Acquisition algorithms using the R tools.
JOIN MY COURSE NOW!
Who this course is for:
- The course of instruction is ideal for professionals who need to use regression analysis &ere; supervised machine learning in their theater of operations
- Everyone who would like to learn Information Science Applications In The R & R Studio Environment
- Everyone who would like to memorise theory and effectuation of Infantile fixation Analysis & Machine Learning Connected Real-World Data
Course Content: https://www.udemy.com/course/regression-analysis-in-simple machine-learning-statistics-in-r/
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Machine Learning 2022: Practical Regression Analysis in R – Download Free Courses FREE Download
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