Data Science Educational Resources
StrataScratch is a data science educational platform with over 1,000+ real interview questions from your favorite companies.
Modeling Articles, Tutorials & Interview Questions
Pattern Recognition in ML: Here is How to Decode the Future
Exploring the transformative power of pattern recognition in machine learning to equip systems with the decision-making precision of human-like cognition.
Nathan Rosidi -
Machine Learning Types: Here is How to Differentiate Them
A detailed guide to understanding the various types and applications of machine learning.Nathan Rosidi -
What is MLOps? - Machine Learning Operations Explained
MLOps stands as a bridge between machine learning models and real-world applications for seamless AI integration and innovation.Nathan Rosidi -
Tree-Based Models in Machine Learning
Mastering Tree-Based Models in Machine Learning: A Practical Guide to Decision Trees, Random Forests, and GBMs.Nathan Rosidi -
40+ Data Science Interview Questions From Top Companies
Overwhelming you with the data science interview questions is the only way to make sure your data science interview doesn’t end underwhelmingly.Nathan Rosidi -
From Data Collection to Model Deployment: 6 Stages of Data Science Project
You need to stand out from the thousands of your data science peers. Here’s how to use the six stages of the data science projects to do that.Nathan Rosidi -
AI Interview Questions: A Guide to Crafting Winning Answers
Master the AI Job Interview: Coding, Theoretical, and Scenario-Based Questions UncoveredNathan Rosidi -
30+ Project Ideas to Showcase Your Machine Learning Skills
Here are 30+ machine learning project ideas ideal for showcasing and honing your ML skills. There’s something for everyone, from beginners to advanced levels.Nathan Rosidi -
Machine Learning Algorithms Explained: Support Vector Machine
Brace yourself for a detailed explanation of the Support Vector Machine. You’ll learn everything you wanted and what you didn’t but really should know.Nathan Rosidi -
Machine Learning Algorithms You Should Know for Data Science
These machine learning algorithms are the bread and butter for Data Scientists to solve problems and derive insights in a faster and more efficient way.Nathan Rosidi -
Feature Selection Techniques in Machine Learning
We’ll talk about supervised and unsupervised feature selection techniques. Learn how to use them to avoid the biggest scare in ML: overfitting and underfitting.Nathan Rosidi -
Machine Learning Algorithms Explained: Clustering
In this article, we are going to learn how different machine learning clustering algorithms try to learn the pattern of the data.Nathan Rosidi -