Datascience Lab: process and methods

Laboratories from Datascience Lab course 2020-2021

In this repository are available all the assignements for the "Data Science Lab: process and methods" course, in 1st semester on 1st year of the MSc in Data Science and Engineering at Politecnico di Torino.

You can find the course material here

1. Laboratory-08-10-2020 : algebric calculation over lists, dictionaries, opening and working on csv/json ...

2. Laboratory-15-10-2020 : data cleaning, similarity and dissimilarity

3. Laboratory-22-10-2020 : association rules, apriori (+ peronsal implementation), fpgrowth

4. Laboratory-22-10-2020 : Numpy and KNN design and implementation

5. Laboratory-04-11-2020. : Pandas

6. Laboratory-12-11-2020 : Sklearn, Classification and Random Forest implementation

7. Laboratory-18-11-2020 : Spoken digit classification - Competition

8. Laboratory-26-11-2020 : Regression analysis

9. Laboratory-02-12-2020 : New York City Airbnb Open Data - Competition (IEEE report)