_____________________________________________________________________________________


Programming KNN with K=1 in Rcpp

LB 1.1. Programming KNN (K=1) with Rcpp (PDF).

Descripción. Programming with Rcpp assignment.

LB 1.2. KNN R code (.R).

Descripción. Basic code in R for KNN with K=1.


Feature Extraction in Python for text analysis:

LB 2.1. Introduction to feature extraction (PDF).

Descripción. Background for the assignment.

LB 2.2. Feature extraction assignment (PDF).

Descripción. What to do for the assignment.

LB 2.3. Notebook to fill in (ipynb).

Descripción. Bare bones notebook to be filled in by the student.

LB 2.4. Data files (ZIP).

Descripción. Datasets for the assignment.

LB 2.5. Example of output file (txt).

Descripción. The output of the assignment should be something similar to this.


Scikit-learn:

LB 3.1. Introduction to wind energy forecasting. (PDF).

Descripción.Background and assignment.

LB 3.2. Dataset (pickle).

Descripción. Dataset to be used for the assignment.


Pipelines and plotting:

LB 4.1. Pipelines and plotting assignment (PDF).

Descripción. What to do for the assignment.

Última modificación: lunes, 28 de febrero de 2022, 09:45