Udemy - Machine Learning & Predictive Models in R Theory & Practice

Category: Tutorial


Posted on 2020-12-30, by voska89.

Description



83f4adcbec165b8edcf46205d73fb737.jpeg
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 65 lectures (6 hour, 44 mins) | Size: 1.99 GB
Learn applied machine learning models , cluster analysis & predictive modelling in R by many examples, understand theory


What you'll learn
Your complete guide to unsupervised & supervised machine learning and predictive modeling using R-programming language
It covers both theoretical background of MACHINE LERANING & and predictive modeling as well as practical examples in R and R-Studio
Fully understand the basics of Machine Learning, Cluster Analysis & Predictive Modelling
Highly practical data science examples related to supervised machine learning, clustering & prediction modelling in R
Learn R-programming from scratch: R crash course is included that you could start R-programming for machine learning
Be Able To Harness The Power of R For Practical Data Science
Compare different different machine learning algorithms for regression & classification modelling
Apply statistical and machine learning based regression & classification models to real data
Build machine learning based regression & classification models and test their robustness in R
Learn when and how machine learning & predictive models should be correctly applied
Test your skills with multiple coding exercices and final project that you will ommplement independently
Implement Machine Learning Techniques/Classification Such As Random Forests, SVM etc in R
Requirements
Availabiliy computer and internet & strong interest in the topic
Description
Machine Learning & Predictive Models in R |Theory & Practice
My course will be your complete guide to the theory and applications of Machine Learning (supervised & unsupervised) using the R-programming language.
Unlike other courses, it offers NOT ONLY the guided demonstrations of the R-scripts but also covers theoretical background that will allow you to FULLY UNDERSTAND & APPLY MACHINE LEARNING & PREDICTIVE MODELS (K-means, Random Forest, SVM, logistic regression, etc) in R.
This course also covers all the main aspects of practical and highly applied data science related to Machine Learning (classification & regressions) and unsupervised clustering techniques. Thus, if you take this course, you will save lots of time & money on other expensive materials in the R based Data Science and Machine Learning domain.
In this age of big data, companies across the globe use R to analyze big volumes of data for business and research. By becoming proficient in supervised & unsupervised machine learning and predictive modeling in R, you can give your company a competitive edge and boost your career to the next level
THIS COURSE HAS 8 SECTIONS COVERING EVERY ASPECT OF MACHINE LEARNING: BOTH THEORY & PRACTISE
Fully understand the basics of Machine Learning, Cluster Analysis & Prediction Models from theory to practice
Harness applications of supervised machine learning (classification and regressions) and Unsupervised machine learning (cluster analysis) in R
Learn how to apply correctly prediction models and test them in R
Complete programming & data science tasks in an independent project on Supervised Machine Learning in R
Implement Unsupervised Clustering Techniques (k-means Clustering and Hierarchical Clustering etc)
Learn the basics of R-programming
Get a copy of all scripts used in the course
and MORE
NO PRIOR R OR STATISTICS/MACHINE LEARNING / R KNOWLEDGE REQUIRED:
You'll start by absorbing the most valuable R Machine Learning, Predictive Modelling & Data Science basics, and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R.
My course will help you implement the methods using real data obtained from different sources. Thus, after completing my Machine Learning course in R, you'll easily use different data streams and data science packages to work with real data in R.
In case it is your first encounter with R, don't worry, my course a full introduction to the R & R-programming in this course.
This course is different from other training resources. Each lecture seeks to enhance your Machine Learning and modeling skills in a demonstrable and easy-to-follow manner and provide you with practically implementable solutions. You'll be able to start analyzing different streams of data for your projects and gain appreciation from your future employers with your improved machine learning skills and knowledge of the cutting edge data science methods.
The course is ideal for professionals who need to use cluster analysis, unsupervised machine learning, and R in their field.
One important part of the course is the practical exercises. You will be given some precise instructions and datasets to run Machine Learning algorithms using the R tools.
JOIN MY COURSE NOW!
Who this course is for:
The course is ideal for professionals who need to use cluster analysis, unsupervised machine learning and R in their field.
Everyone who would like to learn Data Science Applications In The R & R Studio Environment
Everyone who would like to learn theory and implementation of Unsupervised Learning On Real-World Data
https://www.udemy.com/course/machine-learning-predictive-models-in-r-theory-practice/

f472b4843daac9b0069c54c4b030364c.pngVisit My Profile News Here : https://www.ebookee.com/user/voska89

uploadgig.png
https://uploadgig.com/file/download/4dbA6e7d3C610416/r6170.Machine.Learning..Predictive.Models.in.R.Theory..Practice.part1.rar
https://uploadgig.com/file/download/cE62B1d3a5A70fdc/r6170.Machine.Learning..Predictive.Models.in.R.Theory..Practice.part2.rar
https://uploadgig.com/file/download/350a6Ccd95029E55/r6170.Machine.Learning..Predictive.Models.in.R.Theory..Practice.part3.rar
rapidgator.png
https://rapidgator.net/file/6a60d51c7610cc154a5ae6ae0eda9d56/r6170.Machine.Learning..Predictive.Models.in.R.Theory..Practice.part1.rar.html
https://rapidgator.net/file/115565a4630fee93467cd2a7845f6b3b/r6170.Machine.Learning..Predictive.Models.in.R.Theory..Practice.part2.rar.html
https://rapidgator.net/file/607c419deabe9455d2a48c5470371b42/r6170.Machine.Learning..Predictive.Models.in.R.Theory..Practice.part3.rar.html
nitroflare.png
http://nitroflare.com/view/F19B8D2B9339163/r6170.Machine.Learning..Predictive.Models.in.R.Theory..Practice.part1.rar
http://nitroflare.com/view/108C459430FA52C/r6170.Machine.Learning..Predictive.Models.in.R.Theory..Practice.part2.rar
http://nitroflare.com/view/91A67D1105B1416/r6170.Machine.Learning..Predictive.Models.in.R.Theory..Practice.part3.rar

Links are Interchangeable - No Password - Single Extraction

Sponsored High Speed Downloads
6647 dl's @ 3379 KB/s
Download Now [Full Version]
7953 dl's @ 3351 KB/s
Download Link 1 - Fast Download
9793 dl's @ 3512 KB/s
Download Mirror - Direct Download



Search More...
Udemy - Machine Learning & Predictive Models in R Theory & Practice

Search free ebooks in ebookee.com!


Links
Download this book

No active download links here?
Please check the description for download links if any or do a search to find alternative books.


Related Books


Comments

No comments for "Udemy - Machine Learning & Predictive Models in R Theory & Practice".


    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.
    Back to Top