Paul JM's repositories
Auckland_Housing
Scraped 500 listings from myrent.co.nz, in order to geo-locate the most attractive rooms available on Google maps.
BerlinHousing
Scraped data from https://www.immobilienscout24.de/, used Google Maps API plus folium to make an interactive plot of listings across Berlin.
DataViz_FinalProject
Visualization of AirBNB accommodation options in Amsterdam using R
Forecasting_time_series_r
Forecasting time series assignment for Coca Cola earnings comparing various SARIMA models, carried out in R.
ie-mbd-advanced-python
"Advanced Python" subject from the Master in Big Data @ IE
kickstarter_campaigns
Forecasting Campaign Success
Machine_Learning_II_Employee_Churn
Employee churn prediction model in Python
Madrid_Pollution_Analysis_R
Analysis of hourly pollution data across 20+ stations in Madrid for several pollutants, carried out in R
mbd-bidw
Business Intelligence and Data Warehousing
NLP-Text_Summarization
Datasets and Individual Text Files for Text Summarization
Pump_it_up_challenge
Developed a machine learning algorithm taking part in Kaggle's pump it up challenge to predict state of wells in Tanzania, carried out in Python
Python_triangles
Python script that creates triangular numbers, tetrahedral numbers, binomial coefficients, and pascal's triangles
SocialNetworkAnalysis_Final
Algorithm to predict most desirable itineraries from A to B for various U.S. Airlines networks in R
Stocks_Cluster_Analysis_R
Clustering analysis of various stocks in R