Engineering and Technology
In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.
Google News is a well-known platform that organizes news articles into groups based on their similarity. However, have you ever been curious about the underlying process that enables this grouping? If so, this course is for you. In this course, we will introduce you to the concept of unsupervised learning, specifically focusing on clustering techniques. Using the powerful SciPy library in Python, you will learn how to preprocess data and apply hierarchical and k-means clustering algorithms. Throughout the course, we will utilize player statistics from FIFA 18, a popular football video game, to demonstrate the practical application of these clustering techniques. By the end of the course, you will have the skills to efficiently apply various clustering algorithms to your own data, effectively visualize the clusters formed, and analyze the results.
by DataCamp
In this course, you will be introduced to unsupervised learning through techniques such as hierarchi...
by DataCamp
Learn the fundamentals of working with big data with PySpark.
by DataCamp
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply t...
by DataCamp
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb...
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Master sampling to get more accurate statistics with less data.
by DataCamp
Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression...
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Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and...
by DataCamp
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks,...