springboard-data-science

Contains my work for the Data Science Career Track course from Springboard

Projects

• Chapter 5: Data Wrangling
  • 5.3.3 Mode Analytics Case Study
• Chapter 8: Inferential Statistics
  • 8.2.1 Human Body Temperature Using EDA
  • 8.2.2 Examine Racial Discrimination Using EDA
  • 8.2.3 Reduce Hospital Readmissions Using EDA
• Chapter 11: Machine Learning
  • 11.1.5 Linear Regression Using Boston Housing Data Set
  • 11.1.6 Heights and Weights Using Logistic Regression
  • 11.3.3 Predicting Movie Ratings from Reviews Using Naive Bayes
  • 11.5.3 Customer Segmentation Using Clustering
• Chapter 18: Data Science at Scale
  • 18.0.3 Spark Mini-Project: Databricks edition