This is a DataKolektiv repository for our MACHINE LEARNING IN R Data Science Summer School 2022.
contact: hello@datakolektiv.com
The Summer School will be hosted in Startit Center Belgrade every Saturday in June 2022, 09:00 - 18:00 CET.
Asynchronous consultations and work will be carried on via Slack and GitHub 4. - 30. June 2022.
WEEK 1.
- Saturday, 4. June, 09:00 - 18:00 CET, Startit center, Belgrade
- 09:00 - 12:30. Introduction to R programming: data types, vectors, matrices, and vectorization, lists, the data.frame class, I/O operations, control flow, functions, functional programming.
- 14:30 - 18:00. tidyverse approach to R programming: dplyr and tidyr for data management and processing.
- Asynchronous (Slack, GitHub), Monday, 6. June - Friday, 10. June
- Data Visualization in ggplot2
- Data Cleaning and Transformation (i.e. Data Wrangling) in stringr, dplyr and tidyr; Exploratory Data Analysis (EDA) in R.
- Learning Material:
- Review Material (Math):
WEEK 2.
- Saturday 11. June, 09:00 - 18:00 CET, Startit center, Belgrade
- Asynchronous (Slack, GitHub), Monday, 13. June - Friday, 17. June
WEEK 3.
- Saturday, 18. June, 09:00 - 18:00 CET, Startit center, Belgrade
- Asynchronous (Slack, GitHub), Monday, 20. June - Friday, 24. June
- Case Study 2: Price Prediction in the Real Estate Market
- Control for Overfit 2: Cross-Validation and Regularization in Regression Models
WEEK 4.
- Saturday, 25. June, 09:00 - 18:00 CET, Startit center, Belgrade
- Asynchronous (Slack, GitHub), Monday, 27. June - Thursday, 30. June
- Case Study 3: Web Content Popularity Prediction.
- Case Study 4: Complete Model Layout and Find-Tuning XGBoost for Regression and Classification Problems