Course description
Introduction to exploratory Data Analysis. Applications in Python using scikit-learn
Syllabus
- Some background in Statistics and probability
- Data cleaning, imputation, outliers, normalization
- Univariate, bivariate and multivariate data analysis
- Feature selection
- Linear feature extraction
- Clustering algorithms
- Linear and logistic regression
