A Beginner’s Guide to Random Forest Hyperparameter Tuning
Introduction to Random Forest What’s the first image that comes to your mind when you think about Random Forest? It conjures up images of …
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Underfitting vs. Overfitting (vs. Best Fitting) in Machine Learning
The Challenge of Underfitting and Overfitting in Machine Learning You’ll inevitably face this question in a data scientist interview: Can you explain what is …
Game Theory 101: Decision Making in a Competitive Scenario using Normal Form Games
Overview Game Theory can be incredibly helpful for decision making in competitive scenarios Understand the concept of Normal Form Games in the context of …
Game (Theory) for AI? An Illustrated Guide for Everyone
Overview What is Game Theory? And how does it apply to artificial intelligence (AI)? Game theory for AI is a fascinating concept that we …
Mathematics behind Machine Learning – The Core Concepts you Need to Know
Overview Here’s an intuitive and beginner friendly guide to the mathematics behind machine learning Learn the various math concepts required for machine learning, including …
Everything you Should Know about p-value from Scratch for Data Science
Overview What is p-value? Where is it used in data science? And how can we calculate it? We answer all these questions and more …
Introduction to Flair for NLP: A Simple yet Powerful State-of-the-Art NLP Library
Introduction to a simple yet amazing NLP library called Flair. See how it works and get the code to implement it in Python yourself!
Top 5 Data Science GitHub Repositories and Reddit Discussions (January 2019)
Introduction There’s nothing quite like GitHub and Reddit for data science. Both platforms have been of immense help to me in my data science …
