Completing a course in Udemy that is an introduction to HR-Analytics. The course teaches using R, but I wanted to practice my Python skills, so I have done the whole course using Python.
- Exploring the dataset
- Changing datatypes -- categorical
- Summary Statistics using
.describe().T
- Feature Engieering
- Bi-Variate Analysis
- Categorial - Categorical
- Hypthosis Testing using p-values (chi-test)
- Numerical - Categorical
- Understanding boxplot and mean, median, min, and max
- Hypothesis Testing using p-values (ANOVA)
- Created dummy variables for categorical variables
- train_test_split
- Notes: Model selections and examples of case studies
Will continue to update as I go through the course.