Applied Machine Learning in R

Get the essential machine learning skills and use them in real life situations
4.54 (287 reviews)
Udemy
platform
English
language
Data Science
category
Applied Machine Learning in R
24 196
students
8 hours
content
Dec 2020
last update
$69.99
regular price

Why take this course?

🌟 Course Title: Applied Machine Learning in R
🤖 Course Headline: Master the Art of Machine Learning with Real-World Applications using R
📘 Course Description:

Unlock Your Data's Secrets with Machine Learning! 🚀

Dive into a Comprehensive, Practical Machine Learning Journey:

🎉 This course is your gateway to mastering machine learning with the R programming language. By the end of this course, you'll be equipped with the essential skills and knowledge to make accurate predictions and extract valuable insights from datasets. 📊

Why Enroll?

  • Job Market Ready: Machine learning skills are in high demand across industries like data analysis, data science, research, and software engineering. This course prepares you for a competitive edge in the job market. 🌱

Course Breakdown:

Essential Concepts: Understand supervised and unsupervised learning, prediction vs. inference, regression models, classification techniques, and the crucial concept of bias-variance trade-off. 🎓

Cross-Validation Mastery: Learn about cross-validation to ensure your models perform well on independent data sets, exploring the pros and cons of different approaches. 🔄

Supervised Machine Learning Techniques: Master advanced regression methods beyond traditional OLS, including stepwise regression, penalized regression (ridge and lasso), and partial least squares regression, all demonstrated with real-world data in R. 📈

Classification Techniques: Gain expertise in logistic regression, discriminant analysis, naïve Bayes, K nearest neighbor, support vector machines, decision trees, and neural networks. 🛠️

Hands-On Learning Experience:

  • For each technique:
    • A clear, jargon-free theoretical introduction 📚
    • Step-by-step guidance on training models in R 🤖
    • Testing the model to ensure it generalizes well to independent data sets ✅

Unsupervised Techniques:

  • Explore powerful data mining techniques like Principal Component Analysis (PCA) and Cluster Analysis through practical exercises. 🔍

Practical Application:

  • Engage in a series of practical exercises to apply what you've learned, ensuring you can replicate these processes independently. 👩‍💻

Course Highlights:

  • Live demonstrations with real datasets make the learning process intuitive and straightforward.
  • Video lectures break down complex concepts into bite-sized, easy-to-understand segments.
  • A structured approach ensures you progress from beginner to expert in machine learning with R.

Join Us and Transform Your Career! 🌟

Ready to become a machine learning expert? Click the “Enroll” button now and take the first step towards a career-defining skill set. This course could be the catalyst for your next career leap. 🚀

See you inside, where we'll turn data into decisions together! 🤗


Enroll now to embark on an unforgettable journey into the world of machine learning with R. Your future self will thank you for it! 🎉 #MachineLearningWithR #DataScienceJourney #CareerBoostWithRLearning

Course Gallery

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1221664
udemy ID
19/05/2017
course created date
20/07/2019
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