Published in

Data Professor

Chanin Nantasenamat

Jul 28, 2021

2 min read

66 Days of Data

Day 26 of the 66 Days of Data

Documenting my Data Science Learning Journey

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?

More from Data Professor

A place to learn data science through easy to understand explanation and cartoon visuals.

Recommended from Medium

Sahil Nathani

Taste of Flags

Michael Grogan

Towards Data Science

Linear Mixed Effect Modelling with TensorFlow Probability

Aaryan Verma

Online News Crawling and Virality Prediction

Will Koehrsen

Towards Data Science

Thoughts on the Two Cultures of Statistical Modeling

hqtquynhtram

Multicollinearity: How does it affect to your regression model?

Bugra Altun

What is RFM and Application of RFM in E-Commerce

Dr. Irena Bagdady

Black Jack 21 Quantitative Computation As An Inverted Triangle For Product and Service Industries

Agnieszka Kujawska, PhD

Towards Data Science

Quantiles are key to understanding probability distributions

About Help Terms Privacy

66 Days of Data

Day 26 of the 66 Days of Data

Documenting my Data Science Learning Journey

More from Data Professor

Recommended from Medium

Taste of Flags

Linear Mixed Effect Modelling with TensorFlow Probability

Online News Crawling and Virality Prediction

Thoughts on the Two Cultures of Statistical Modeling

Multicollinearity: How does it affect to your regression model?

What is RFM and Application of RFM in E-Commerce

Black Jack 21 Quantitative Computation As An Inverted Triangle For Product and Service Industries

Quantiles are key to understanding probability distributions

Get the Medium app

Chanin Nantasenamat

More from Medium

How I Made an Automatic B’day Wisher Using Python

How to Print out Random Numbers in Python

Web Scraping — An Easier Way

How to Start Practicing SQL at Home for Free