Arrays in Bash
This tutorial is a brief introduction to arrays in bash. Data Scientists are familiar with arrays, in R, a simple
Uncovering Customer Purchasing Patterns with Market Basket Analysis: A Python-Based Tutorial for Shopify
Market basket analysis is important for an e-shop because it can provide insights into customer purchasing behavior and help identify
A Complete Guide of How to Choose and Apply the Right Statistical Test in Python
We often underestimate statistics and their importance and from my own experience, I can tell for certain that it’s the
Interview Question: A Variation of Russian Roulette
For Data Science positions, it is common to be asked questions about probabilities. One example is the following: The Question
How to Generate the Requirements of your Python project based on your Imports
We have provided many tutorials on how to generate the requirements.txt for your python project without environments, how to work
How to Schedule Tasks in Snowflake
We have started a series of Snowflake tutorials, like How to Get Data from Snowflake using Python, How to Load
Data Validation for Machine Learning using TFDV
After the Machine Learning model deployment we need somehow to validate the incoming datasets before we move on and input
How to Sync your Working Environment with Docker Jupyter Notebooks
Data Scientists love to work with Jupyter notebooks. It is possible that in the machine that you have to work
How to work with VS Code and Virtual Environments in Python
We have provided examples of how to work with conda environments. In this post, we will provide you a walk-through
What you can do with Snowflake
Snowflake is a popular cloud-based data storage and analytics service. Personally, when I examine new technologies and products, I would
3 Ways To Perform Quick Exploratory Data Analysis in Python
Exploratory data analysis is a very important procedure in Data Science. Whatever we want to do with the data, we
