Section 7: K Nearest Neighbors (KNN)
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Machine Learning
Part 9 of 20
The aim of the series is to consolidate a foundational understanding of Machine Learning.
Section 6: Logistic Regression
References: An Introduction to Statistical Learning (Download free pdf) Jose Portilla's 2021 Python for Machine Learning & Data Science Masterclass
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Section 15: Principal Component Analysis (PCA)
References: An Introduction to Statistical Learning (Download free pdf) Jose Portilla's 2021 Python for Machine Learning & Data Science Masterclass
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Section 14: Density-Based Spatial Clustering of Applications with Noise (DBSCAN)
References: An Introduction to Statistical Learning (Download free pdf) Jose Portilla's 2021 Python for Machine Learning & Data Science Masterclass
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Section 13: Hierarchical Clustering
References: An Introduction to Statistical Learning (Download free pdf) Jose Portilla's 2021 Python for Machine Learning & Data Science Masterclass
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Section 12: K-Means Clustering
So far we have done supervised learning. The remaining sections will be on unsupervised learning. Below is a quick guide on how to pick the estimator: Source: scikit-learn Unsupervised Learning: (1) Clustering: Using features, group together data r...
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Nur Fadhilah
21 posts