Caret package in R

What you'll be able to do

• Data Processing
• Data Transformation
• Exploratory Data Analysis
• Feature Selection
• Genetic Algorithms
• Machine Learning Algorithms
• Hyperparameter Tuning

1. 01Overview4 lessons · 9 min

   1. What is caret4:09
   2. How to Get Queries Resolved1:00
   3. Problem StatementPreview3:18
   4. Download Resources1:00
2. 02Data Processing3 lessons · 19 min

   1. Sampling ApproachesPreview7:55
   2. Missing Value TreatmentPreview7:03
   3. One Hot Encoding4:25
3. 03Data Transformation3 lessons · 9 min

   1. Box Cox Transformation Concept2:02
   2. Applying Box Cox and PCA6:03
   3. Course Review1:00
4. 04EDA2 lessons · 9 min

   1. Feature Plots4:38
   2. Statistical Analysis4:42
5. 05Feature Selection3 lessons · 7 min

   1. Recursive Feature Elimination (RFE) Algorithm3:05
   2. Recursive Feature Elimination (RFE Demo)3:15
   3. Course Review1:00
6. 06Genetic Algorithms3 lessons · 18 min

   1. Genetic Algorithms3:27
   2. Genetic Algorithms part 2 - Feature Selection8:40
   3. Genetic Algorithms Demo5:58
7. 07Annealing Algorithm3 lessons · 11 min

   1. Simulated Annealing Concept5:33
   2. Simulated Annealing Demo4:51
   3. Course Review1:00
8. 08ML Algorithms3 lessons · 11 min

   1. Exploring the ML Models (BIG LIST)1:49
   2. Building ML with train function7:47
   3. Course Review1:00
9. 09ML Model Improvement5 lessons · 15 min

   1. Automatic Hyperparameter Tuning3:44
   2. Customize Hyperparameter Search1:58
   3. Comparing Adaboost xgboost random forest and svm2:09
   4. Tuning Non Default Parameters with Caret3:26
   5. Caret Ensembles3:55

What you need

• R-Programming knowledge
• Foundational knowledge of Data Science

Who this course is for

• Data Science Aspirants
• Data Science Professionals
• Software/Data engineers interested in quantitative analysis
• Professionals working with large datasets
• Data analysts, economists, researchers

Your instructor

Prabhakaran S

Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this course!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I've deployed 20+ global products. I'm also the Founder and Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I've put up the series of courses and projects with detailed explanations, just like on-the-job experience. Hope you love it!

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