Skip to content
View AndreaCorvi's full-sized avatar
Block or Report

Block or report AndreaCorvi

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories

  1. KobeBryant-DecisionTrees KobeBryant-DecisionTrees Public

    Classification on the Kobe Bryant Shot Selection dataset (https://www.kaggle.com/c/kobe-bryant-shot-selection/data) using Decision Trees

    R 2

  2. Master_Thesis Master_Thesis Public

    The core of this work is represented by networks, specifically from a dynamical point of view. Longitudinal networks can be statistically modelled in several ways, most of them developed in the soc…

    R 1 2

  3. SentimentTwitter SentimentTwitter Public

    This was my first project using python. I performed a sentiment analysis on a dataset made of tweets. In particular I wanted to determine whether a tweet was sexist/racist/violent or not. For this …

    Python

  4. NeuralNet-ImageClass NeuralNet-ImageClass Public

    My project for the neural networks class. I employed transfer learning in order to perform a multilabel classification of cloud images. The dataset can be found on kaggle (https://www.kaggle.com/c/…

    Python

  5. DirectMarketing-R DirectMarketing-R Public

    Statistical Learning project. I, with a classmate, developed different alghortims in order to build a model for direct marketing.

    R

  6. CustomerChurnPrediction CustomerChurnPrediction Public

    University team project regarding the class of data mining. In this work our team analyzed a dataset from a telecommunication company in order to predict the churn of its current costumers.

    Jupyter Notebook