Python Data Science: Unsupervised Machine Learning
Learn Python for data science & machine learning, and build unsupervised learning models w/ a top Python instructor!
4.70 (196 reviews)
2 316
students
17 hours
content
Nov 2024
last update
$84.99
regular price
What you will learn
Master the foundations of unsupervised Machine Learning in Python, including clustering, anomaly detection, dimensionality reduction, and recommenders
Prepare data for modeling by applying feature engineering, selection, and scaling
Fit, tune, and interpret three types of clustering algorithms: K-Means Clustering, Hierarchical Clustering, and DBSCAN
Use unsupervised learning techniques like Isolation Forests and DBSCAN for anomaly detection
Apply and interpret two types of dimensionality reduction models: Principal Component Analysis (PCA) and t-SNE
Build recommendation engines using content-based and collaborative filtering techniques, including Cosine Similarity and Singular Value Decomposition (SVD)
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5930252
udemy ID
18/04/2024
course created date
26/04/2024
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