50 Public Datasets for Machine Learning Projects
· ☕ 9 min read
Best sources to find free real-world public datasets for your machine learning and data science projects.
MLOps — the dust has not settled yet
· ☕ 2 min read
Universe of MLOps tools and how The Big 3 (Amazon, Google, and Microsoft) think about ML lifecycle and MLOps maturity level.
Data Visualization Chart Cheatsheets
· ☕ 3 min read
Cheatsheets and decision trees to find the best visualization for your data and purpose
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
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.