TOP MACHINE LEARNING ALGORITHMS

TOP MACHINE LEARNING ALGORITHMS:


1. logistic regression
2.linear regression
3.linear discriminant analysis
4.classification and regression trees
5.naive bayes
6.k-nearest neighbors(KNN)
7.support vector machines(SVM)
8.random forest
9.adboost
10.boosting
11.learning vector quantization(LVQ)
Training data that's hard to predict is given more weight, whereas easy to predict instances are given less weight. Models are created sequentially one after the opposite , each updating the weights on the training instances that affect the training performed by subsequent tree within the sequence. After all the trees are built, predictions are made for new data, and the performance of each tree is weighted by how accurate it was on training data learn more

Even an experienced data scientist cannot tell which algorithm will perform the simplest before trying different algorithms. Although there are many other Machine Learning algorithms, these are the foremost popular ones. If you’re a newbie to Machine Learning, these would be an honest start line to find out .

The models created for every sample of the info are therefore more different than they otherwise would be, but still accurate in their unique and alternative ways . Combining their predictions leads to a far better estimate of truth underlying output value.