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Growth Paths / DS Curriculum 10: Machine learning and data mining
AdvancedSkills
DS Curriculum 10: Machine learning and data mining
Train models, go deeper with neural nets, and mine large data.
Train models, go deeper with neural nets, and mine large data. Free courses, a free self-check for each, and real work confirmed by 3 people. Part of the Varsity Curriculum: Data Science, adapted from OSSU Data Science (CC BY-SA 4.0).
6 required outcomes40 weeksCredential on completion
Path outcomes
10
Skills
Learn Machine Learning Basics
Supervised Machine Learning: Regression and Classification — reuses an outcome Powstik already has.
Take this Challenge →2 milestones
- 1Do the course work in public
- 2Train a model on real data
20
Skills
Train Neural Networks and Tree Models (fast.ai)
Advanced Learning Algorithms
Take this Challenge →2 milestones
- 1Do the course work in public
- 2Beat a baseline with a neural net or a forest
30
Skills
Learn Clustering, Recommenders and Reinforcement Learning (MIT 6.036)
Unsupervised Learning, Recommenders, Reinforcement Learning
Take this Challenge →2 milestones
- 1Do the course work in public
- 2Build a small recommender or agent
40
Skills
Build Machine Learning Projects (Udacity Intro to ML)
Intro to Machine Learning
Take this Challenge →2 milestones
- 1Do the course work in public
- 2Find a pattern in real data
50
2 milestones
- 1Do the course work in public
- 2Find similar items at scale
60
Skills
Find How Work Really Flows (Process Mining)
Process Mining: Data Science in Action
Take this Challenge →2 milestones
- 1Do the course work in public
- 2Map a real process from its event log
Resources for this path
No affiliate links. No sponsored placements.
OSSU Data Science ↗Curriculum
The course map this path is adapted from (CC BY-SA 4.0).