Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
KNN Classifier .ipynb		KNN Classifier .ipynb
Lecture 5 - Regression.ipynb		Lecture 5 - Regression.ipynb
Lecture 6 - Polynomial Regression using Ridge.ipynb		Lecture 6 - Polynomial Regression using Ridge.ipynb
Lecture 9 - K means.ipynb		Lecture 9 - K means.ipynb
Lecture10 - Decision Trees.ipynb		Lecture10 - Decision Trees.ipynb
Lecture11 - Ensemble techniques.ipynb		Lecture11 - Ensemble techniques.ipynb
Lecture12 - Recsys example.ipynb		Lecture12 - Recsys example.ipynb
Lecture12 Content based recommender Systems .ipynb		Lecture12 Content based recommender Systems .ipynb
Lecture13 - Support Vector Machines.ipynb		Lecture13 - Support Vector Machines.ipynb
Lecture13 Support vector machines with logistical regression.ipynb		Lecture13 Support vector machines with logistical regression.ipynb
Lecture14 - Dimensionality reduction with PCA.ipynb		Lecture14 - Dimensionality reduction with PCA.ipynb
Lecture14 - Reconstructing an Image with PCA.ipynb		Lecture14 - Reconstructing an Image with PCA.ipynb
Lecture7 -KNN classification.ipynb		Lecture7 -KNN classification.ipynb
PhoneNumValidator.ipynb		PhoneNumValidator.ipynb
README.md		README.md
RandomForrestAlgo.ipynb		RandomForrestAlgo.ipynb
lecture 6 - using logistic regression to classify beer.ipynb		lecture 6 - using logistic regression to classify beer.ipynb
lecture_8_bayes_iris.ipynb		lecture_8_bayes_iris.ipynb