Collection of cover art for all my Medium blog posts

All my blogs on 1 page (Updated June 6, 2021)

Thanks for visiting! My name is Chanin Nantasenamat, Ph.D. and in my daytime job I’m an Associate Professor of Bioinformatics and in my free time I am a Content Creator running the Data Professor YouTube channel.

Table of Contents

Below is a listing of all articles that I have written that is conveniently…

Data Science

The Ultimate Roadmap for Starting Your Data Science Journey

Modified (with License) from the Photo by koctia on Envato Elements

I get asked quite often on my YouTube channel (Data Professor) the following questions about how to break into data science:

  • How to become a Data Scientist?
  • What is the roadmap to being a Data Scientist?
  • What courses should I take to learn Data Science?

So I thought that it…

Created by Chanin Nantasenamat using the graphic by alexacrib on envato elements

Getting Started; Data Science

How to Learn Data Science

So back in January of 2020, I released a video called Strategies for learning data science in 2020 where I shared some of my tips on how you could get started in learning data science. A year has passed and I thought that it would be a great opportunity to…

Created (with license) using the image by koctia from envato elements.

Getting Started

Here’s the Essential Scikit-learn you Need for Data Science

Scikit-learn is one of many scikits (i.e. short form for SciPy Toolkits) that specializes on machine learning. A scikit represents a package that is too specialized to be included in SciPy and are thus packaged as one of many scikits. Another popular scikit is the scikit-image (i.e.

66 Days of Data

Documenting my Data Science Learning Journey

Photo by Thought Catalog on Unsplash

In this post, I combined what I did for Days 27–33 into a single post as I’ve been away for a week from posting contents on Medium. Hope you like the concised nature of this post. …

66 Days of Data

Documenting my Data Science Learning Journey

Photo by Terry Vlisidis on Unsplash

On Day 26 of the 66 Days of Data, I continued with coding an implementation in Python for calculating molecular fingerprints for a big chemical library.

How big?

This corresponded to 30,000 compounds * 2,000,000 compounds = 60,000,000,000 compound pairs. …

66 Days of Data

Documenting my Data Science Learning Journey

Photo by Austin Distel on Unsplash

On Day 25 of the 66 Days of Dat, I’ve pondered some more about scikit-learn for an upcoming blog that I’m working on.

Preview of the Illustration for my upcoming scikit-learn blog

Here’s a preview of the first illustration I’ve made on the data representation of tabular datasets used for building models in scikit-learn:

66 Days of Data

Documenting my Data Science Learning Journey

Photo by Markus Winkler on Unsplash

On Day 24, I’ve continued to work some more on writing a full blog post about scikit-learn for data science. Aside from statistics, probably 80% or more of any data problem that you can think of can be handled by machine learning.

Motivated to distill the fundamentals of the scikit-learn…

66 Days of Data

Documenting my Data Science Learning Journey

Photo by Teemu Paananen on Unsplash

On Day 23 of the 66 Days of Data, I started the day off by listening to 12 student presentations on their Mini-Project data analysis of various Kaggle healthcare datasets. And ended the day by being in the live chat of the Premiere video podcast with Nate at StrataScratch.

Student Presentation of the Mini-Projects

This…

66 Days of Data

Documenting my Data Science Learning Journey

Photo by Alex Kondratiev on Unsplash

On Day 22 of the 66 Days of Data, I’ve spent time doing a Q and A session for the course I’m teaching as well as coded in Python for analyzing a large chemical dataset.

Q and A for the Introductory Course on Python for Data Science

As the course comes to a close, the day was spent to provide students the…

Chanin Nantasenamat

Founder of Data Professor YouTube Channel | Associate Professor of Bioinformatics | Head, Center of Data Mining and Biomedical Informatics

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