If you want to see predictive algorithms in action, try these machine learning recipes.
With 50+ R-based code snippets here, you can try, tweak and learn about each step of modeling.
This resource is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science!
From instructions on R packages to modeling, you will find here plenty of useful codes.
Curious what machine learning algorithms are included here? You will find code for:
- Linear Regression
- K Nearest Neighbors
- K Means Clustering
- Decision Trees
- Random Forests
- Data Mining Twitter
- Neural Nets and Deep Learning
- Support Vector Machine
Look at the curriculum below for more details.
What do you get here?
Introduction
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Step 0: Getting Started With R
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Step 1: Analyze Data
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Step 2: Prepare Data
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Step 3: Algorithms
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Step 4: Evaluate Algorithms
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Step 5: Improve Results
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Step 6: The Final Model
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BONUS: Practical applications using case studies
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