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.
Dataset: Chronic Kidney disease data from UCI -
A-Star Algorithm