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Tech With Tim

Python Machine Learning Tutorials

via YouTube Video playlist

Overview

This series starts out teaching basic machine learning concepts like linear regression and k-nearest neighbors and moves into more advanced topics like neural networks and convolution neural networks.

Videos in this playlist 12

  1. Python Machine Learning Tutorial #1 - Introduction
  2. Python Machine Learning Tutorial #2 - Linear Regression p.1
  3. Python Machine Learning Tutorial #3 - Linear Regression p.2
  4. Python Machine Learning Tutorial #4 - Saving Models & Plotting Data
  5. Python Machine Learning Tutorial #5 - KNN p.1 - Irregular Data
  6. Python Machine Learning Tutorial #6 - KNN p.2 - How does K Nearest Neighbors Work?
  7. Python Machine Learning Tutorial #7 - KNN p.3 - Implementation
  8. Python Machine Learning Tutorial #8 - Using Sklearn Datasets
  9. Python Machine Learning Tutorial #9 - SVM P.2 - How Support Vector Machines Work
  10. Python Machine Learning Tutorial #10 - SVM P.3 - Implementing a SVM
  11. Python Machine Learning Tutorial #11 - How K Means Clustering Works
  12. Python Machine Learning Tutorial #12 - Implementing K-Means Clustering

Advantages and disadvantages

Advantages

  • Free and complete: every lecture is in the playlist, in order.
  • Watch at 1.5x, skip what you know, rewatch what you don't.
  • 1,160,065 views, so help and notes are easy to find.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (12 videos) you can see before you start.
  • Start watching right away, no sign-up.

Disadvantages

  • No certificate, deadlines or graded work.
  • Quality and depth vary: check that the playlist is finished before you start.
  • No certificate.
  • No graded assignments or feedback.
  • Recorded in 2019: tools may have changed since.

Some points apply to every course of this kind; see how we rank.

Free

  • Free: Watch on YouTube, no account needed.
  • Certificate: None. Code or take notes along to make it stick.

Tech With Tim is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (68/100).

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