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course_datascience's Introduction

Course: Data Science and Analytics

This repository is about a lecture which is named "Data Science and Analytics" at Mugla Sitki Kocman University. There are 3 sections:

  • Homework
  • Midterm
  • Final

Homework Folder

The homework is about super heroes and their powers, also has 7 questions and the statistical report has to created via RMarkdown.

  1. Dataset Importation
  2. Finding a Specific Group
  3. Removal Specific Values
  4. Summary Table
  5. Finding Some Heroes based on Features
  6. Creation of Tibble and Comparison
  7. Combination of Two Dataframes and Visualization

Midterm Folder

The midterm is about intention of online shoppers, also has 3 tasks and the statistical report has to created via RMarkdown.

  1. Hidden Patterns and Visualization
  2. Reducing Dimensions using PCA
  3. Evaluation of Unsupervised Learning Techniques

Final Folder

The final is about creation a pipeline that has 6 sections. Also, the statistical report has to created using dataset which is used in midterm, via RMarkdown. Sections are:

  1. Data Importation
  2. Data Exploration
  3. Preprocessing
  4. Training Models
  5. Testing and Comparison
  6. Prediction

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