For this week’s workshop, we covered the basics of predictive analytics by introducing the concepts of explanatory analysis, linear regression, decision tree and random forest. The students during the workshop were able to learn how to explore a dataset in R and build a linear model to predict the future. Please see below for a summary of the workshop and link to the slides!
Covered in Workshop:
- Went over basic R syntax & dplyr package
- Real-world examples of predictive analytics
- Importance & methods of cleaning data
- Introduction of linear regression
- Evaluation & interpretation of linear regression
- Introduction of classification
- Decision Trees
- Random Forest
- Books and classes recommendation to study data science
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