Zach Star
The applications of non-euclidean distance | Metric Spaces
The applications of non-euclidean distance | Metric Spaces
Curated Video
Python for Machine Learning - The Complete Beginners Course - K-Nearest Neighbors Algorithm
In this video, we will cover the K-Nearest Neighbors algorithm. This clip is from the chapter "Classification Algorithms: K-Nearest Neighbors" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section,...
Curated Video
Fundamentals of Machine Learning - Unsupervised Learning
This video explains unsupervised learning, Principal Components Analysis (PCA), and clustering. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: Kernel PCA Versus ISOMAP
In this video, we will cover Kernel PCA versus ISOMAP. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
Curated Video
Practical Data Science using Python - K-Means Clustering Computation
This video explains K-Means clustering computation. This clip is from the chapter "Unsupervised Learning - K-Means Clustering" of the series "Practical Data Science Using Python".This section explains unsupervised learning - K-Means...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Similarity Based Methods Introduction
In this video, we will cover similarity based methods introduction. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - NumPy for Numerical Data Processing: NumPy KNN Classifier from Scratch
In this video, we will cover NumPy KNN classifier from scratch. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and...