Shumet Tadesse

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supervised learning machine learning underfitting overfitting regularization entropy gini index information gain logistic regression knn decision tree multiple linear regression simple linear regression polynomial regression classification regression applications of machine learn probability and statistics linear algebra types of machine learning reinforcement learning unsupervised learning

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Course Title: Introduction to Machine Learning Chapter, One: Introduction

3 weeks ago • 2 Views

Course Title: Introduction to Machine Learning, Chapter 2- Supervised Learning

3 weeks ago • 6 Views

supervised learning machine learning underfitting overfitting regularization entropy gini index information gain logistic regression knn decision tree multiple linear regression simple linear regression polynomial regression classification regression applications of machine learn probability and statistics linear algebra types of machine learning reinforcement learning unsupervised learning

Shumet Tadesse

Presentations

Course Title: Introduction to Machine Learning Chapter, One: Introduction

Course Title: Introduction to Machine Learning, Chapter 2- Supervised Learning