Andrea Ierardi (@Andreaierardi)
github

Andreaierardi

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  • Stars
    star
    35
  • Global Rank 438,984 (Top 16 %)
  • Followers 43
  • Following 23
  • Registered almost 7 years ago
  • Most used languages
    Jupyter Notebook
         50.0 %
    R
         25.0 %
    C
         8.3 %
    Python
         8.3 %
    HTML
         8.3 %
  • Location ๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark
  • Country Total Rank 4,612
  • Country Ranking
    Jupyter Notebook
         97
    R
         113
    C
         166
    HTML
         554
    Python
         1,865

Top repositories

1

Master-DataScience-Notes

MSc. Data Science and Economics Notes and projects
Jupyter Notebook
11
star
2

Appunti-Triennale-Informatica

Appunti Laurea triennale in Informatica
C
10
star
3

disCOVIDer19

A navigator within the pandemia
R
2
star
4

MilanPollution

Project on Milan Pollution Analisys using R language and ShinyApp
R
2
star
5

lyrics-emotion-detection

The aim of the project is the the developing of different models for predicting the emotions in text lyrics. Moreover, a simple web application has been developed for the deploying of the work.
HTML
2
star
6

Time-Series-Project

Time Series Project in Eviews
1
star
7

Covid-19-Forecast-Evaluation

Covid19 Forecast Evaluation USA data
Jupyter Notebook
1
star
8

sentiment-puccini

The aim of the project is the retrieval of Giacomo Puccini letters from official website, developing and application of pre-trained models for letters sentiment polarity classification over the years. Different models applied: Simple Neural Network models, SentITA models
Jupyter Notebook
1
star
9

Master-Thesis-SNA-Borsa-Italiana

Social Network Analysis on post trade data: centrality, scale free behavior and resiliency of the networks over time
Jupyter Notebook
1
star
10

workshop_unimi

Python
1
star
11

Fruits-Neural-Networks

Image classification with Machine Learning: recognising fruit and vegetable classes with Neural Networks
Jupyter Notebook
1
star
12

Market-Basket-Analysis-IMDB

The task is to implement a system finding frequent itemsets (aka market-basket analysis), analyzing the IMDB dataset.
Jupyter Notebook
1
star
13

NYAirbnb-Machine-Learning

ML price prediction and cluster analysis on Kaggle competition NY Airbnb open data. Linear regression, Decision trees, Random Forest, Ranger RF, Neural Networks, K-mean, PCA, Hierarchical Clustering
R
1
star