Lesson List

Introduction to the Course

Machine Learning. An Introduction.

Practice. How does machine learning work?

Workflow of a Machine Learning project.

Practice. San Francisco – explore Building Permits Data. Build Predictive Model.

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How does machine learning work? Prediction of construction time and cost.

📚 Additional materials on topics covered in the course:

K-means clustering
https://en.wikipedia.org/wiki/K-means_clustering

Machine Learning Basics with the K-Nearest Neighbors Algorithm
https://towardsdatascience.com/machine-learning-basics-with-the-k-nearest-neighbors-algorithm-6a6e71d01761

🔎 Topics covered in this course:

  • Prediction of time and cost for small training dataset

  • K-means supervised Machine Learning algorithm

  • Understanding K-means Clustering in Machine Learning

  • Overview of Machine Learning Algorithms

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