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beer-quality-prediction

Final Assignment of the Data Science Lab course at Politecnic Torino By Elena Baralis

calculator

a calculator with assembly language

calculator_android

complier

A complier with Java

coursera--using-databases-with-python

Here You can find All weeks Assignments of Coursera Course - Using Databases with Python

data-analysis-movie-challenge

data-analysis-on-crm-dataset

RFM analysis and Customer Lifetime Value

datalabproject

horn-formulas

satisfiability of a formula with horn algorithm

jaffe-facial-and-emotion-recognition

lineup-app

machine-learning-with-python

mib

Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718

minimum-edit-distance

this was a presentation in non-linear optimization course

ml-for-iot-in-time-series-area

mouse-and-cheese

mouse and cheese project in java with BFS method

numerical-optimization-unconstrained-optimization

In this project , we conduct a detailed analysis on the characteristics of some of the numerical optimization methods tested to the three problems from ** [Test Problems for Unconstrained Optimization] (https://www.researchgate.net/publication/325314497_Test_Problems_for_Unconstrained_Optimization) **. More specifically, we compared the Steepest Decent, Newton Method and Inexact Newton Method applied to Problem 1 [Chained Rosenbrock function ] , Problem 25 [Extended Rosenbrock function] , Problem 76 and problem 81. We tested the first problem in 2- D space and the remaining three problems in N-D space, where N = [103,104,105]. For each problem we calculated analytically the gradient and the hessian in order to apply the chosen methods. We optimize successfully each function with at least one method.

numerical_optimization_methods

In this repository I have implemented methods for Numerical optimization for large scale problems and Stochastic Optimization

online_exam

Smart online examination

online_shop

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

realtime-emotional-detection

sim2real_rl_robotics_mldl_22

Starting code template for the course project in sim-to-real for reinforcement learning in robotics (machine learning and deep learning 2022 course).

svd-image-compression

this was project for linear-algebra course