ngorovitch Goto Github PK

adults-yearly-income-prediction

Using Pandas, Sk learn and Tensorflow to predict if a indiviual makes over 50K/year

bayes

Naive-Bayes Classifier for node.js

bert

TensorFlow code and pre-trained models for BERT

bioinformatics-network-biology-part-1

Starting from existing knowledge about a physiological/clinical/pathological condition or process, a) explore the related information sources (experiments and datasets, literature, databases, etc), b) collect the list of human genes of interest (‘seed gene list’), c) get proteinprotein interaction data, d) carry on a preliminary analysis

bioinformatics-network-biology-part-2

Using the results from part 1, we will be performing modules discovery by applying clustering methods and then carry on with a enrichment analysis on the putative disease modules

characters-recognition

Used machine learning (CNNs) to build a software that given a scanned picture with a character (i.e, a,A,B,B,...) is able to recognize: the font, the character , if it is in bold and if it is in italics .

computer-science-publication-similarity

Application of graph methodologies to extract and process information on DBLP database

dataroot

donation_prediction

free-datasets

A repo containing free datasets

hackerrank-java

My solutions for the Java Challenges in Hackerrank

housing-price-prediction

Predicted price of houses in Ames with advanced regression techniques - include data cleaning, feature selection & engineering, Full Lasso Model

housing_prediction

Our solution set for the Housing price prediction competition in Kaggle

influenza-prediction-with-wikipedia

Wikipedia Usage Estimates Prevalence of Influenza Illness in Italy in Near Real-Time

lyrics-analysis

Analyzed the text of songs and built a search engine for songs. It includes data collection, song statistics and search engine.

neurology-brain-oscillatory-and-network-activity-during-resting-state

Analysis on EEG data for a single subject at rest in (i) eyes-open and (ii) eyes-closedconditions, respectively

optimization-methods-for-mlp-and-rbf

Implementation of Neural Network for regression. The network architectures used were the Multilayer Perceptron (MLP) and the Radial Basis Function and the optimization techniques used are Full minimization, Two blocks method and Decomposition.

optimization-methods-for-support-vector-machines

Implementation of Support Vector Machine from scratch. We trained SVM using 3 optimization methods: full QP, decomposition method and the Most Violating Pair (MVP) decomposition method. Additionally, as a bonus, we implemented a Support Vector Machine classifier for multi-class classification

predicting-football-match-results-through-bayesian-analysis-

Predicted the outcome of last season EPL results

search-engine-evaluation

Project done for the Data Mining Technologies. The main topics covered in this project are Search-Engine Evaluation and Near-Duplicates-Detection.

smart-environment

statistical-methods-for-data-science-bayes

technical-interview-practice

This is just a collection of problems that I solve in my free time

tweet-analysis-on-italian-referendum

We worked on a network representing the relationships among twitter profiles and the stream of tweets across the Italian referendum day (4th of December 2016). On those data-sets, we investigated the temporal distribution by performing a temporal analysis before Identifying potential Yes/No supporters. Additionally, we performed spread of influence analysis to evaluate the spread of the different parties over the network.

wordpress

WordPress, Git-ified. Synced via SVN every 15 minutes, including branches and tags! This repository is just a mirror of the WordPress subversion repository. Please do not send pull requests. Submit patches to https://core.trac.wordpress.org/ instead.