UD120 – Intro to Machine Learning

One part of my bucket list for 2018 is finishing the Udacity Course UD120: Intro to Machine Learning.

the host of this course are Sebastian Thrun, ex-google-X and founder of Udacity and Katie Malone, creator of the Linear digressions podcast.

The course consists of 17 lessons. Every lesson has a couple of hours of video and lots and lots of quizzes in it.

  • [x] Lesson 1: Only introduction 🙂
  • [x] Lesson 2: Naive Bayes
  • [x] Lesson 3: Support Vector Machines
  • [x] Lesson 4: Decision Trees
  • [x] Lesson 5: Choose your own algorithm
  • [x] Lesson 6: Datasets and questions
  • [x] Lesson 7: Regression
  • [x] Lesson 8: Outliers
  • [x] Lesson 9: Clustering
  • [x] Lesson 10: Feature Scaling
  • [ ] Lesson 11: Text Learning
  • [ ] Lesson 12: Feature Selection
  • [ ] Lesson 13: PCA
  • [ ] Lesson 14: Validation
  • [ ] Lesson 15: Evaluation Metrics
  • [ ] Lesson 16: Tying it all together
  • [ ] Lesson 17: Final project