Introduction in data science

IDS_Taraburca_Vlasie

Table of Contents

• Team Members
• Content description

Team Members

• "Taraburca Radu grupa 383" rtaraburca@yahoo.com
• "Vlasie Rares grupa 383" vlasierares@gmail.com

Content description

• Lab 2 => Simple tasks using NumPy and tasks with functions

• Lab 3 => Exercises ipywidgets

• Lab 4 => Pandas exercises

• Lab 6 => Classification models

  • Gaussian Naive bayes
  • KNN
  • SVM
  • Decision tree
  • Random forest

  Used datasets:

  • Semion_dataset
  • Spambase
  • Mammographic_masses
  • Wine

• Lab 9 => Regression models

  • Linear Regression
  • KNeighbors Regressor
  • Decision Tree Regressor
  • SVR
  • MLPRegressor

  Used datasets:

  • Boston Housing
  • CPU Computer Hardware
  • Communities and Crime
  • Wisconsin Breast Cancer

• Lab 11 => Regression on 2 datasets Used datasets:

  • SSMS
  • sentiment labelled sentences