joannabroniarek Goto Github PK

agency-jekyll-theme

Agency Theme for Jekyll

data-analysis-newyorktaxi

The analysis of Taxis in NYC in 2018. The aim was to answer to some specific research questions (RQs) that may help Taxi drivers in planning their movements throughout the city and the Taxi's users to have hints about the convenience of enjoying this service.

dataanalysis_houseaddsclustering

Perform a clustering analysis of house announcements in Rome from Immobiliare.it. Comparison clustering according to different datsets.

datascience_task

dcgan-for-mri-images

Tensorflow 2.0 implementation of DCGAN for 3D MRI

house-prices-advanced-regression-techniques

This project consists in competing in the following Kaggle competition: https://www.kaggle.com/c/house-prices-advanced-regression-techniques

mlp-and-generalized-rbf-network

Pure NumPy implementation of Multi-layer perceptron and RBF network.

molecularmodel

The implementations of various methods for simulation of molecular motions.

mt_deeplearning

nlp-data-analysis-airbnb

Analyzing the text of Airbnb property listings and building two different Search Engines that, given as input a query, return the houses that match the query.

parallelsvm

Parallel SVM - based on Consensus and Sharing

self-driving-attgan

Tensorflow implementation of Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models

stocks-dependency-graphs

Analysis over Stocks price dependency. A project of the course Statistical Methods for Data Science.

stocks_dataanalysis

Study the dependency among stocks via marginal correlation graphs. Verifying hypothesis that stocks from the same GICS sectors should tend to be clustered together.

titanic-survivors---machine-learning

The Titanic Dataset Analysis from Kaggle and the implementation of several machine learning algorithms like SVM, Random Forest, Linear Regression, XGBoost to predict who survived.

towergame

The implementation of the Tower Game. The aim of the project was to use various design patterns in Python.

walking-pattern-recognition

The main goal of this project was to provide an analysis of classification results in recognizing people according to their walking pattern.

walkingpatternclassification_sl

Statistical Learning Project