Analysis of Residential Property Prices in Dublin
Living in Dublin, Ireland is amazingly expensive. Residential property prices in Dublin are growing. Yet we all think about buying a home while still wondering whether we might be better…
What Make A Really Good Diamond?
The aim of this blog is to assess the quality and characteristics of the diamonds and gain insights about what makes a really good diamond. The data set is from…
Visualisation of House Prices
Visualization 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.…
The Comprehensive Guide for Feature Engineering
Feature Engineering is the art/science of representing data is the best way possible. This is the comprehensive guide for Feature Engineering for myself but I figured that they might be…
4 different ways to predict survival on Titanic
These are my notes from various blogs to find different ways to predict survival on Titanic using Python-stack. I am interested to compare how different people have attempted the kaggle…
Installing XGBoost for Windows – walk-through
I have the following specification on my computer: Windows10, 64 bit,Python 3.5 and Anaconda3.I tried many times to install XGBoost but somehow it never worked for me. Today I decided…
Exploratory Data Analysis with Pandas
This post is exploratory data analysis with pandas. Clear data plots that explicate the relationship between variables can lead to the creation of newer and better features that can predict…
Facebook Data Analysis
In [20]: import pandas as pd import numpy as np In [ ]: # Take few samples for the visualization sample_fbcheckin_train_tbl = fbcheckin_train_tbl[:10000].copy() In [21]: df = pd.read_csv('train.csv', index_col='row_id') In [22]: df.head() Out[22]: x y…