freeCodeCamp/guide/english/machine-learning
Yogesh Nimangre f9ae997467 Added info of crash course (#24048)
* Added info of crash course

* Reordered change
2018-12-07 22:49:20 -05:00
..
backpropagation
bayes-classifier
brownian-motion
clustering-algorithms
dataset-splitting
deep-learning
dimension-reduction
expectation-maximization-algorithm
feature-engineering
gaussian-process
glossary
latent-dirichlet-allocation
linear-regression
logistic-regression
monte-carlo
natural-language-processing
neural-networks Minor grammar and structure changes (#23370) 2018-12-03 11:33:34 -07:00
one-shot-learning
principal-component-analysis
principles
random-forest
reinforcement-learning Update index.md (#23882) 2018-12-01 21:59:39 -05:00
stochastic-process
supervised-learning
support-vector-machine
tensorflow-for-machine-learning
unsupervised-learning
yolo-for-object-detection
index.md Added info of crash course (#24048) 2018-12-07 22:49:20 -05:00