This course is the sixth of eight courses. This project provides an in-depth exploration of key Data Science concepts focusing on algorithm design. It enhances essential mathematics, statistics, and programming skills required for common data analysis tasks. You will engage in a variety of mathematical and programming exercises while completing a data clustering project using the K-means algorithm on a provided dataset.
Can a Machine Detect Fake Notes?
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Skills You'll Learn
Mean and Deviations, Pandas and K-means, One and two-dimensional data
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From the lesson
Week 4: A Data Clustering Project
This week, we will embark on a journey through the fascinating world of unsupervised learning, where patterns emerge from data without explicit guidance. You will implement the K-means algorithm to solve a real-world problem.
Taught By
Robert Zimmer
Professor