MLAlgorithms

Various ML algorithms tested for various problem scenarios

Decision Tree
Naïve Bayes Implementing Decision Tree and Naïve Bayes algorithm to understand underlying intuitions. Considering dummy scenario where player decides whether to play tennis or not based upon weather conditions
Linear Regression Simple problem tackled using scikit-learn and perceptron
Polynomial Regression Polynomial regression problem tackled with scikit-learn and simple neural network architecture
KNN Famous iris classification problem tackled with KNN algorithm
KMeans Visualization and finding optimum K value as you train

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Resources		Resources
DecisionTreeImpl.py		DecisionTreeImpl.py
IRISClassificationUsingKNN.ipynb		IRISClassificationUsingKNN.ipynb
KMeansDemo.ipynb		KMeansDemo.ipynb
NaiveBayes.py		NaiveBayes.py
README.md		README.md
SimpleLinearRegression.ipynb		SimpleLinearRegression.ipynb
Untitled.ipynb		Untitled.ipynb
k Nearest Neighbours.ipynb		k Nearest Neighbours.ipynb
sklearn_polynomial_regression.ipynb		sklearn_polynomial_regression.ipynb