Data-Mining-Algos

A set of basic data science and ML algo implementations.

Go through the Assignments.md file to get an overview of the steps being followed in the algos.

Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
.gitignore		.gitignore
Adaline NN.ipynb		Adaline NN.ipynb
Assignments.md		Assignments.md
Data Visualisation Methods.ipynb		Data Visualisation Methods.ipynb
K Means Clustering.ipynb		K Means Clustering.ipynb
K-NN lazy classifier.ipynb		K-NN lazy classifier.ipynb
KarlPearsons(Sir).ipynb		KarlPearsons(Sir).ipynb
KarlPearsons.ipynb		KarlPearsons.ipynb
Linear_Interpolation.ipynb		Linear_Interpolation.ipynb
Logistic Regression Classifier(Sir).ipynb		Logistic Regression Classifier(Sir).ipynb
Logistic Regression.ipynb		Logistic Regression.ipynb
MLP Backprop.ipynb		MLP Backprop.ipynb
NaiveBayesian(Sir).ipynb		NaiveBayesian(Sir).ipynb
Naive_Bayesian_Classifier.ipynb		Naive_Bayesian_Classifier.ipynb
PCA Demo.ipynb		PCA Demo.ipynb
README.md		README.md
Simulated Annealing.ipynb		Simulated Annealing.ipynb
Untitled.ipynb		Untitled.ipynb

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