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Learning to create Machine Learning Algorithms
kernel-svm
datascience
dataprocessing
k-means-clustering
k-nearest-neighbors
logistic-regression
machine-learning-az
multiple-regression
polynomial-regression
naive-bayes-classifier
support-vector-machine
random-forest-regressor
decision-tree-classifier
decision-tree-regression
random-forest-classifier
simple-linear-regression
support-vector-regression
classification-algorithims
machine-learning-algorithms
k-means-implementation-in-python
Created
2017-08-22
32 commits to master branch, last one 3 years ago
This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal...
Created
2018-12-05
515 commits to master branch, last one about a year ago
Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python
Created
2017-04-29
41 commits to master branch, last one 6 years ago
Recursive Leasting Squares (RLS) with Neural Network for fast learning
Created
2020-08-16
63 commits to master branch, last one about a year ago