Data Visualization Chart Cheatsheets
· ☕ 3 min read
Cheatsheets and decision trees to find the best visualization for your data and purpose
Blog Articles
Setting Up Data Collection
· ☕ 3 min read
Examines the effort-cost spectrum for data collection approaches from do-it-yourself to fully-outsource-it w.r.t. team's ability/budget.
Best Path for Developers to Get into Machine Learning
· ☕ 4 min read
5 steps for devs to learn machine learning: Kaggle micro-courses & competitions, ML Bootcamp, Andrew Ng's ML course, Neural Networks.
To be agile, or not to be, that is the question
· ☕ 4 min read
Arguments against and for embracing Agile in data science and machine learning projects.
Model Evaluation vs. Model Testing vs. Model Explainability
· ☕ 3 min read
Is the model's performance score enough? Testing an ML model is not the same as software testing.
Top 10 Programming Languages Portfolio
· ☕ 7 min read
Most popular programming languages for 2023: Top 10 programming languages and why you should have them in your portfolio.
Actionable Insights from 4 Types of Data Analytics
· ☕ 12 min read
How to collect data and extract actionable insights from descriptive, diagnostic, predictive, and prescriptive data analytics using the drivetrain approach
📌 SQL vs. NoSQL Database: When to Use, How to Choose
· ☕ 12 min read
Difference between SQL and NoSQL database. When to choose NoSQL over SQL. Decision tree to pick from RDBMS, key-value, wide column, document, graph dbs.
Pandas Apply: 12 Ways to Apply a Function to Each Row in a DataFrame
· ☕ 12 min read
How to efficiently iterate over rows in a Pandas DataFrame and apply a function to each row. 5 simple yet faster alternatives to Pandas apply and iterrow methods.
Python Microservices: Effective Canonical Logging Across Services
· ☕ 12 min read
Learn how to design, implement, test, and configure canonical logging across microservices using Python and Tornado web framework.