Here I have added my machine learning projects.

NN Implementation from scratch with raw python.

• Forward Propagation
• Backward Propagation
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• Result of ANN implementation for XOR data - mean sqaure error vs epoch -

Decision Tree :: ID3 Implementation from scratch with continuous data split based on entropy and information gain.

• Titanic and irish dataset was used for testing ID3.
• Continuous data spliting based on information gain.
• ID3 Algorithm with recursion. Best attribute was calculated based on information gain.
• Prediction : accuracy,precision,recall reporting.
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• Result of ID3 implementation for Titanic data - Precision Recall and Accuracy for -
• Result of ID3 implementation for Iris data - True Label vs Prediction -

Naive Bayes Implementation for text classification.

• Archived data from stack exchange is used for classification.
• Text Preprocessing was done with raw python without nltk.
• Naive Bayes algorithm applied on the proceswed text.
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