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