Aspire Journeys

Beginner Machine Learning

  • 3 Courses | 30m
  • 12 Labs | 12h
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Machine Learning is fundamental to data-driven decision making in many fields today. This Aspire Journey walks through what it is, how machine learning algorithms work and how to implement and evaluate them.

In this track of the Machine Learning Aspire Journey, the focus will be on understanding the concepts of machine learning, feature engineering and data transformations prior to implementing machine learning models.

  • 2 Courses | 20m
  • 1 Lab | 1h

In this track of the Machine Learning Aspire Journey, the focus will be on understanding, implementing and evaluating foundational supervised learning models such as linear and logistic regression.

  • 4 Labs | 4h

In this track of the Machine Learning Aspire Journey, the focus will be on popular supervised algorithms such as the Naive Bayes Classifier, Support Vector Machines, K-Nearest Neighbors and Decision Trees.

  • 4 Labs | 4h

In this track of the Machine Learning Aspire Journey, the focus will be on understanding how recommender systems work and how to build and evalute them.

  • 1 Course | 10m
  • 1 Lab | 1h

In this track of the Machine Learning Aspire Journey, the focus will be on mastering unsupervised learning algorithms such as Principal Component Analysis and K Means Clustering.

  • 2 Labs | 2h

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