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Fundamentals of Classification in Machine Learning
Fundamentals of Classification in Machine Learning
Key Points
Glossary
Learner Profiles
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Reference
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Fundamentals of Classification in Machine Learning
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EPISODES
Summary and Setup
1. 01 Introduction
2. 02 Logistic Regression
3. 03 Logistic Regression Optimization
4. 04 Svm
5. 05 Svm Optimization
6. 06 Model Evaluation
7. 07 Neural Networks
8. 08 Neural Networks Optimization
9. 09 Random Forest
10. 10 Random Forest Optimization
RESOURCES
Key Points
Glossary
Learner Profiles
Reference
See all in one page
01 IntroductionIntroduction to Classification
02 Logistic RegressionLogistic Regression with Breast Cancer Dataset
03 Logistic Regression OptimizationOptimising a Logistic Regression Classifier
04 SvmSupport Vector Machine (SVM) with Breast Cancer Dataset
05 Svm OptimizationOptimising a Support Vector Machine (SVM) Classifier
06 Model EvaluationModel Evaluation: Comparing Logistic Regression and SVM
07 Neural NetworksNeural Network (MLPClassifier) with Breast Cancer Dataset
08 Neural Networks OptimizationOptimising a Neural Network Classifier
09 Random ForestRandom Forest Classifier with Breast Cancer Dataset
10 Random Forest OptimizationOptimising a Random Forest Classifier
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