betsymccall.net Lifelong Learning Coding Tutorials and Examples, Machine Learning

As part of my program, I recently took a course that leaned heavily on machine learning. As part of preparing for the exams and completing assignments, I collected a set of online resources. I'd done a little bit in another class as well. Most the resources below fall into two major categories: 1) knowledge (how do the machine learning algorithms work mathematically), 2) executing them in Python. These algorithms can certainly be carried out in other languages, but this was what we used for the courses I took. Some of these refer to pyspark, which you can use in Python without Spark.

Links

Unsupervised Machine Learning: Flat Clustering

scikit-learn: Machine Learning in Python

PCA using Python

Keras

Unsupervised Learning | Clustering and Association Algorithms in Machine Learning (video)

Clustering Introduction - Practical Machine Learning Tutorial with Python (video)

KNN Algorithm - How KNN Algorithm Works With Example (video)

Logistic Regression in Python (video)

Decision Tree Algorithm With Example (video)

Logistic Regression in Machine Learning using Python

Classification in Machine Learning (video)