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- 4 Courses | 8h 15m 1s
- Includes Lab
Welcome to the Machine Learning in Python Bootcamp channel! Learn how to mine data and uncover patterns within it during this course. Clustering is a foundational unsupervised machine learning technique that is key to discovering latent patterns and trends. By the end of this course, attendees will learn to identify use cases where clustering is relevant, use Python to perform clustering on real-world and evaluate the results. Attendees must be comfortable using Python to manipulate data and must know how to create basic visualizations and import data. Prior to attending the live sessions, please install Anaconda.
COURSES INCLUDED
Machine Learning in Python Bootcamp: Session 1 Replay
This is a recorded Replay of the Machine Learning in Python Live session that ran on August 9th at 11 AM ET.
2 videos | 2h 38m
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Machine Learning in Python Bootcamp: Session 2 Replay
This is a recorded Replay of the Machine Learning in Python Live session that ran on August 10th at 11 AM ET.
2 videos | 2h 25m
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Machine Learning in Python Bootcamp: Session 3 Replay
This is a recorded Replay of the Machine Learning in Python Live session that ran on August 11th at 11 AM ET.
2 videos | 1h 38m
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Machine Learning in Python Bootcamp: Session 4 Replay
This is a recorded Replay of the Machine Learning in Python Live session that ran on November 5th at 11 AM ET. In this session Lucas Kelly discusses logistic regression on a training dataset and predict on test, classification performance metrics, transformation of categorical variables for implementation of logistic regression, and implementation of logistic regression on the data.
2 videos | 1h 52m
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