https://github.com/kimaruthagna/learning-machine_learning
Simple highly commented python scripts on some very basic machine learning such as the regression line and training of classifiers. More commits coming soon
https://github.com/kimaruthagna/learning-machine_learning
adaline backpropagation classifier decision-tree-classifier iris-dataset k-nearest-neighbours knn linear-regression logistic-regression machine-learning machine-learning-algorithms naive-bayes-classifier pandas-dataframe python3 regression sklearn som supervised-learning svm unsupervised-learning
Last synced: 2 months ago
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Simple highly commented python scripts on some very basic machine learning such as the regression line and training of classifiers. More commits coming soon
- Host: GitHub
- URL: https://github.com/kimaruthagna/learning-machine_learning
- Owner: KimaruThagna
- Created: 2017-10-03T15:48:43.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2018-11-19T02:14:44.000Z (almost 7 years ago)
- Last Synced: 2025-03-18T08:34:42.129Z (7 months ago)
- Topics: adaline, backpropagation, classifier, decision-tree-classifier, iris-dataset, k-nearest-neighbours, knn, linear-regression, logistic-regression, machine-learning, machine-learning-algorithms, naive-bayes-classifier, pandas-dataframe, python3, regression, sklearn, som, supervised-learning, svm, unsupervised-learning
- Language: Python
- Size: 16.2 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Learning-Machine_Learning
Simple highly commented python scripts on some very basic machine learning such as the regression line and training of classifiers. The tutorial followed is a great series of ML videos on the youtube channel SENTDEX. i highly recommend that you subscribe.
The general direction is to start with supervised algorithms, Linear regression, K-nearest neighbours and SVM. then later, unsupervised algorithms such as K-Means.
The comments are more of what ive understood and explanantion of some of the logic