EL 3019 Data Sciences is an academic course 👨🎓
The aim of this unit is to provide an overview of data science, using libraries and frameworks. We work on famous data from gapminder or kaggle.
- Deal with missing data
- How to detect them
- Typology of missing data
- How to overcome them
- Different types of classifiers, such as KNN, SVM, ...
- Linear regression
- Bayesian methodes
Matrix of correlation
pairplot
plotly_knn