Hostelworld Challenge

Exploratory Data Analysis for Hostelworld Challenge

Posted on Leave a commentPosted in Competition Notes, Data Analysis Resources, Personal Stories

I recently took part in a challenge by Hostelworld. The challenge proposed by Hostelworld is to build a recommendation engine for users. Recommendations can save Recommendations can save travellers valuable time, improve their hostel experience, and increase user retention. This challenge will use user information, reviews, and hostel details. This is a link for Exploratory […]

visualization of house prices

Visualisation of House Prices

Posted on 1 CommentPosted in Data Analysis Resources, Kaggle

Visualisation is the presentation of data in a pictorial or graphical format. It enables decision makers to see analytics presented visually, so they can grasp difficult concepts or identify new patterns. This visualisation of house prices is for the Kaggle dataset. With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, […]

4 different ways to predict survival on Titanic - part 4

4 different ways to predict survival on Titanic – part 4

Posted on Leave a commentPosted in Data Analysis Resources, Kaggle

continued from part 3 4. Way to predict survival on Titianic These notes are taken from this link In [2]: import matplotlib.pyplot as plt %matplotlib inline import numpy as np import pandas as pd import statsmodels.api as sm from statsmodels.nonparametric.kde import KDEUnivariate from statsmodels.nonparametric import smoothers_lowess from pandas import Series, DataFrame from patsy import dmatrices from […]

4 different ways to predict survival on Titanic – part 3

Posted on Leave a commentPosted in Data Analysis Resources, Kaggle

continued from part 2 3. Way to predict survival on Titianic These notes are from this link I – Exploratory data analysis We tweak the style of this notebook a little bit to have centered plots. In [1]: from IPython.core.display import HTML HTML(“”” <style> .output_png { display: table-cell; text-align: center; vertical-align: middle; } </style> “””) Out[1]: […]