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Machine Learning for Data Science
Diploma in Data science
Explore Machine Learning for Data Science as part of Diploma in Data science. Read the syllabus and available chapters online.
Academic programmeDiploma in Data science
LevelDiploma
Reading sections16
SourceLibrary syllabus and chapters
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01
Machine Learning for Data ScienceSyllabus
02Foundations Of Machine Learning And Data ScienceChapter 1
03Mathematical And Statistical FoundationsChapter 2
04Machine Learning Lifecycle And Problem FramingChapter 3
05Data Preparation And Feature EngineeringChapter 4
06Regression ModelsChapter 5
07Classification ModelsChapter 6
08Model Evaluation Validation And TuningChapter 7
09Ensemble LearningChapter 8
10Clustering And Unsupervised LearningChapter 9
11Dimensionality Reduction And Anomaly DetectionChapter 10
12Applied Machine Learning For Complex DataChapter 11
13Neural Networks And Contemporary AiChapter 12
14Explainable Ethical And Responsible Machine LearningChapter 13
15Deployment Mlops And Model GovernanceChapter 14
16Machine Learning Strategy And Future DevelopmentsChapter 15