Entropy and Information Gain to Build Decision Trees in Machine Learning
Categories:
Machine Learning
Author: Collins Ayuya
Collins Ayuya is pursuing his Masters in Computer Science, carrying out academic research in Natural Language Processing. He is a startup founder and is passionate about startups, innovation, new technology, and developing new products. Collins enjoys doing pencil and graphite art and is also a sportsman and gamer.
Parametric versus Non-Parametric Models
Problem Framing in Machine Learning
Reproducibility to Improve Machine Learning
Categories:
Machine Learning
Using Grid Search to Optimize Hyperparameters
Categories:
Languages
Addressing Underspecification in Machine Learning
Categories:
Machine Learning
A Primer on Bayesian Optimization to Optimize Hyperparameters
Feature Engineering in Machine Learning
Handling Bias in Machine Learning
Categories:
Machine Learning
Hypothesis Testing in Data Science
Handling Imbalanced Datasets in Machine Learning
Categories:
Machine Learning
Introduction to Automated Fake News Detection
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