Life is a Journey
After completing Alexis Cook’s very useful Titanic Tutorial, I couldn’t help myself and spent a couple of days hacking around to try and improve my score without going through the usual data science workflow of EDA, feature engineering, model selection, hyperparameter tuning, train/test iterations.
I know it’s not the proper way of doing data science, but like I said, I just couldn’t help myself.
Continue readingThe first port of call for all Kagglers is the “Titanic: Machine Learning from Disaster” practice competition, where you get to use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.
Continue readingI was planning to sign-up for Kaggle further down in my data science learning journey, only after I had built up sufficient foundational knowledge and skills. However, I decided to take a quick look under the hood, and found that it was surprisingly easy to get started.
Continue readingOne of the first tasks is to set up a programming environment on my personal laptop so that I can start coding as quickly as possible. For data science purposes, you can’t go wrong choosing the Anaconda Individual Edition.
It’s open source, free for individuals, has more than 20 million users worldwide and comes with all the key components and packages needed to get started in less than 30 minutes.
Continue readingFinal post on mapping out my data science learning journey, including an overall tracking chart with all the checkpoints.
Continue readingThere’s an old Chinese saying: “工欲善其事, 必先利其器”, which loosely translates to “In order to a good job, you must first sharpen your tools”. Wise words.
Continue readingI’ll incrementally build a toolbox of machine learning algorithms, starting with basic ones like linear regression and decision trees and then working up to more advanced techniques.
Continue readingYou could say that The Matrix digital rain is the ultimate form of visualisation, as it represents in 2D everything that happens in an entire virtual world inhabited by a race of human batteries. Too bad it isn’t real, or is it?
Continue readingWhile strengthening my theoretical foundation, I’ll start familiarising myself with the basic tools to run data science projects. The good news here is that most of these are open source, freely available on the internet and well used by the global data science community.
Continue readingMathematics and statistics are the core foundations of data science theory, and I’ll start with a few key topics to build a strong theoretical base for my learning journey.
Continue reading
The bold flavours and generous portions of Loulou French Cuisine 
Classical French with a touch of the Mediterranean at Joséphine 
Apéro is a French bistro that serves exceptional Spanish smoked sardines 
Shabu shabu and sukiyaki for one at Shabuwara Namba 
Design Pocket Osaka makes amazingly lifelike food samples 
