About The Blog

I believe the best way to learn something is to write it down, visualize it, and then explain it to other people. That is why I start DiveinDataScience to keep all of my knowledge in neat so that we can learn and share with each other.

This blog contains most of work and projects that I involved in including Uni projects, side projects from competitions and my personal project. To see what I’ve been up to, browse my site, learn about my passions, and explore what excites and interests you as well.

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Our Recent Posts

What is the difference between DevOps and Agile? Why data scientists need to understand these concep

Make the most of 30 day free trial on Azure Services - Big Data Solutions with Azure Machine Learnin

Activation functions and when to use them

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What is the difference between DevOps and Agile? Why data scientists need to understand these concep

During my hunt for a job, I scanned through hundreds of advertisements for data scientists and one of the requirements always appears in...

Make the most of 30 day free trial on Azure Services - Big Data Solutions with Azure Machine Learnin

As a postgraduate student in Data Science, I am encouraged to get a certificate from Microsoft Professional Program as a way to make...

Activation functions and when to use them

Activation function is an important concept in machine learning, especially in deep learning. They basically decide whether a neuron...

My Bible of Data Wrangling

Notice: this content will be updated constantly since I work on data wrangling a lot. So everytime I find a common problem in cleansing...

40 Interview Questions on Machine Learning and Data Science

Machine learning and Data Science could be an aspiring career, but I have to admit that getting into these roles is not easy. This kind...

How (and why) to create a good validation set

A great article by Rachel Thomas sharing a useful trick on winning a Kaggle competition.

Radial Kernel in Support Vector Machines

Support vector machines are a famous and a very strong classification technique which does not use any sort of probabilistic model like...

The only thing I want to keep after two years in Data Science

Within two years pursuing a degree in Data Science, I have gathered quite a lot of cheat sheets for myself from mathematics to data...

Stochastic Optimization Algorithm: Simulated Annealing

Problem description: Assume that you are a salesman and you have to travel through a number of cities to meet some clients. In order to...

Machine learning cheat sheet for newbies!

The title of this article says it all. The cheat sheet provided below is designed primarily to aid beginner to intermediate data...

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