Machine Learning with R


IBM

Our reviews : Very helpful for beginners. You can learn a lot from this especially about how to code functions in R to utilize whatever you need.

Curriculum :
  • Machine Learning vs Statistical Modeling & Supervised vs Unsupervised Learning
  • Supervised Learning I
    • K-Nearest Neighbors
    • Decision Trees
    • Random Forests
  • Supervised Learning II
    • Regression Algorithms
    • Unsupervised Learning
  • K-Means Clustering plus Advantages & Disadvantages
  • Hierarchical Clustering plus Advantages & Disadvantages
  • Dimensionality Reduction & Collaborative Filtering
Certification : Yes
Time to complete : 12 hours
Course Level : Beginner
Language : English