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Implementing machine learning algorithms from scratch.

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madhug-nadig/Machine-Learning-Algorithms-from-Scratch

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Implementing machine learning algorithms from scratch.

Algorithms implemented so far:

  1. Simple Linear Regression.
    Dataset: Stock data from Quandl

  2. Logistic Regression.
    Dataset: Stanford ML course dataset

  3. Naive Bayes Classifier.
    Dataset: Email spam/non-span

  4. Decision Trees

  5. K Nearest Neighbours.
    K Nearest Neighbours in Parallel.
    Dataset: Chronic Kidney disease data from UCI

  6. A-Star Algorithm

  7. K Means Clustering.
    K Means Clustering in Parallel.
    Dataset: IPL player stats norm data

  8. Support Vector Machine

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