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Skill level
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Unsupervised Learning: Clustering
This course will focus on Clustering algorithms and methods through practical examples and code. More importantly, it will get you up and running quickly with a clear conceptual understanding. The course has code & sample data for you to run and learn from. It also encourages you to explore your own datasets using Clustering algorithms.
Full Stack Data Science Program
This is the most comprehensive Full Stack Data Science program available that covers all steps of the Data Science process, from Data Integration, Data Manipulation, Descriptive Analytics and Visualization to Statistical Analysis, Predictive Analytics, and Machine Learning models using R, Python, Tableau, Tensor Flow, and Keras.
Learning Python with PyCharm (Linkedin Learning)
Get your development environment set up correctly with instructor Bruce Van Horn's step-by-step guidance, and explore PyCharm's first-rate text editing tools. Learn how to improve your code quality with Lens Mode and Intentions, refactor and debug code, and perform unit testing with the PyCharm test runner.