Machine-Learning-Algorithms-from-Scratch

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

Built With

• python