/Fundamentals_DataScience

Homeworks and final project for Fundamentals of Data Science (FDS) at La Sapienza University of Rome

Primary LanguageJupyter NotebookMIT LicenseMIT

Fundamentals of Data Science:

Homeworks and final project for the Fundamentals of Data Science course, winter semester 2022/2023,
at Sapienza University of Rome.

Contents:

FDS_HomeWork_1: Computer Vision :

Image Filtering,   Edge Detection,   Object Identification,   Performance Evaluation

FDS_HomeWork_2: Classification :

Logistic Regression and Gradient Ascent,
Logistic Regression with non linear boundaries,
Multinomial Classification,
Transfer Learning on CIFAR-10

Final Project: Stellar Classification:

some exploratory Data-Analysis and Features Engineering.
Classifiers: Multinomial Logistic Regression (MLR) and K-Nearest Neighbours (KNN)
Dataset : get it from Kaggle

Group members:

  • Sara Cammarota: 1869943,
  • Gianmarco Fiorenza: 2086296,
  • Mattia Girolami: 2076424,
  • Luca Mazzucco: 1997610,
  • Ilaria Petrucci: 1732987,