Machine-Learning-Algorithms-from-Scratch
Implementing machine learning algorithms from scratch.
Algorithms implemented so far:
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Simple Linear Regression.
Dataset: Stock data from Quandl -
Logistic Regression.
Dataset: Stanford ML course dataset -
Naive Bayes Classifier.
Dataset: Email spam/non-span -
Decision Trees
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K Nearest Neighbours. K Nearest Neighbours in Parallel Dataset: Chronic Kidney disease data from UCI
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A-Star Algorithm
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K Means Clustering