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
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Laboratory-08-10-2020 : algebric calculation over lists, dictionaries, opening and working on csv/json ...
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Laboratory-15-10-2020 : data cleaning, similarity and dissimilarity
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Laboratory-22-10-2020 : association rules, apriori (+ peronsal implementation), fpgrowth
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Laboratory-22-10-2020 : Numpy and KNN design and implementation
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Laboratory-04-11-2020. : Pandas
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Laboratory-12-11-2020 : Sklearn, Classification and Random Forest implementation
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Laboratory-18-11-2020 : Spoken digit classification - Competition
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Laboratory-26-11-2020 : Regression analysis
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Laboratory-02-12-2020 : New York City Airbnb Open Data - Competition (IEEE report)