Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
Course Slides		Course Slides
Exercises		Exercises
titanic		titanic
.gitattributes		.gitattributes
.gitignore		.gitignore
1stPlyMoons.png		1stPlyMoons.png
3rdPolyMoons.png		3rdPolyMoons.png
AdaBoost Classifiers Practical.ipynb		AdaBoost Classifiers Practical.ipynb
AdaBoost Classifiers Practical.ipynb.zip		AdaBoost Classifiers Practical.ipynb.zip
AdaBoost Regression Practical.ipynb		AdaBoost Regression Practical.ipynb
AdaBoost Regression Practical.ipynb.zip		AdaBoost Regression Practical.ipynb.zip
Analyze subscribers.ipynb		Analyze subscribers.ipynb
Anomalies.png		Anomalies.png
Bagging and Pasting Classifiers Practical.ipynb		Bagging and Pasting Classifiers Practical.ipynb
Bagging and Pasting Classifiers Practical.ipynb.zip		Bagging and Pasting Classifiers Practical.ipynb.zip
Bagging and Pasting Regression Practical.ipynb		Bagging and Pasting Regression Practical.ipynb
Bagging and Pasting Regression Practical.ipynb.zip		Bagging and Pasting Regression Practical.ipynb.zip
Boston Housing Dataset.ipynb		Boston Housing Dataset.ipynb
Boston Housing Dataset.ipynb.zip		Boston Housing Dataset.ipynb.zip
Cleaning input data.ipynb		Cleaning input data.ipynb
Cleaning input data.ipynb.zip		Cleaning input data.ipynb.zip
Column Transformers.ipynb		Column Transformers.ipynb
Column Transformers.ipynb.zip		Column Transformers.ipynb.zip
Creating _ Training a Binary Classifier.ipynb		Creating _ Training a Binary Classifier.ipynb
Creating _ Training a Binary Classifier.ipynb.zip		Creating _ Training a Binary Classifier.ipynb.zip
Creating _ Training a Multiclass Classifier.ipynb		Creating _ Training a Multiclass Classifier.ipynb
Creating _ Training a Multiclass Classifier.ipynb.zip		Creating _ Training a Multiclass Classifier.ipynb.zip
Cross validation.ipynb		Cross validation.ipynb
Cross validation.ipynb.zip		Cross validation.ipynb.zip
Custom Transformers.ipynb		Custom Transformers.ipynb
Custom Transformers.ipynb.zip		Custom Transformers.ipynb.zip
DBSCAN Images.ipynb		DBSCAN Images.ipynb
DBSCAN Images.ipynb.zip		DBSCAN Images.ipynb.zip
DBSCAN Practical.ipynb		DBSCAN Practical.ipynb
DBSCAN Practical.ipynb.zip		DBSCAN Practical.ipynb.zip
DT and Random Forest Regression Practical.ipynb		DT and Random Forest Regression Practical.ipynb
DT and Random Forest Regression Practical.ipynb.zip		DT and Random Forest Regression Practical.ipynb.zip
DTR Images.ipynb		DTR Images.ipynb
DTR Images.ipynb.zip		DTR Images.ipynb.zip
DTR Practical-Copy1.ipynb		DTR Practical-Copy1.ipynb
D_tree_iris.dot		D_tree_iris.dot
D_tree_iris.png		D_tree_iris.png
Data Preparation _ Exploration.ipynb		Data Preparation _ Exploration.ipynb
Data Preparation _ Exploration.ipynb.zip		Data Preparation _ Exploration.ipynb.zip
Data format.ipynb		Data format.ipynb
Data format.ipynb.zip		Data format.ipynb.zip
Decision Tree Images.ipynb		Decision Tree Images.ipynb
Decision Tree Images.ipynb.zip		Decision Tree Images.ipynb.zip
Decision Tree Practical.ipynb		Decision Tree Practical.ipynb
Decision Tree Practical.ipynb.zip		Decision Tree Practical.ipynb.zip
Dimensionality Reduction Images .ipynb		Dimensionality Reduction Images .ipynb
ElasticNetreg.png		ElasticNetreg.png
Feature Importances.ipynb		Feature Importances.ipynb
Feature Importances.ipynb.zip		Feature Importances.ipynb.zip
Feature Scaling Images.ipynb		Feature Scaling Images.ipynb
Feature Scaling.ipynb		Feature Scaling.ipynb
Feature Scaling.ipynb.zip		Feature Scaling.ipynb.zip
Gaussian Mixtures Practical.ipynb		Gaussian Mixtures Practical.ipynb
Gaussian Mixtures Practical.ipynb.zip		Gaussian Mixtures Practical.ipynb.zip
Gradient Boosting Classifiers Practical.ipynb		Gradient Boosting Classifiers Practical.ipynb
Gradient Boosting Classifiers Practical.ipynb.zip		Gradient Boosting Classifiers Practical.ipynb.zip
Gradient Boosting Regression Practical.ipynb		Gradient Boosting Regression Practical.ipynb
Gradient Boosting Regression Practical.ipynb.zip		Gradient Boosting Regression Practical.ipynb.zip
Grid _ Randomized Search.ipynb		Grid _ Randomized Search.ipynb
Grid _ Randomized Search.ipynb.zip		Grid _ Randomized Search.ipynb.zip
Huber Loss.ipynb		Huber Loss.ipynb
Hyperparameters.ipynb		Hyperparameters.ipynb
Hyperparameters.ipynb.zip		Hyperparameters.ipynb.zip
InertiaKMNIST.png		InertiaKMNIST.png
Isomap Practical.ipynb		Isomap Practical.ipynb
Isomap Practical.ipynb.zip		Isomap Practical.ipynb.zip
KMean10ClustersMNIST.png		KMean10ClustersMNIST.png
KMean20ClustersMNIST.png		KMean20ClustersMNIST.png
KMean24ClustersMNIST.png		KMean24ClustersMNIST.png
KMeans Practical.ipynb		KMeans Practical.ipynb
KMeans Practical.ipynb.zip		KMeans Practical.ipynb.zip
KNN Images.ipynb		KNN Images.ipynb
KNN Images.ipynb.zip		KNN Images.ipynb.zip
KNN Practical.ipynb		KNN Practical.ipynb
KNN Practical.ipynb.zip		KNN Practical.ipynb.zip
KNN Regression Images.ipynb		KNN Regression Images.ipynb
KNN Regression.ipynb		KNN Regression.ipynb
KNN Regression.ipynb.zip		KNN Regression.ipynb.zip
LICENSE		LICENSE
LLE Practical.ipynb		LLE Practical.ipynb
LLE Practical.ipynb.zip		LLE Practical.ipynb.zip
Linear Regression Practical.ipynb		Linear Regression Practical.ipynb
Linear Regression Practical.ipynb.zip		Linear Regression Practical.ipynb.zip
Loading Data.ipynb		Loading Data.ipynb
Loading Data.ipynb.zip		Loading Data.ipynb.zip
Logistic Regression Slides.ipynb		Logistic Regression Slides.ipynb
Logistic Regression Slides.ipynb.zip		Logistic Regression Slides.ipynb.zip
MNIST.ipynb		MNIST.ipynb
MNIST.ipynb.zip		MNIST.ipynb.zip
Multilabel classification.ipynb		Multilabel classification.ipynb
Multilabel classification.ipynb.zip		Multilabel classification.ipynb.zip
NNMF Practical.ipynb		NNMF Practical.ipynb
NNMF Practical.ipynb.zip		NNMF Practical.ipynb.zip
Naive Bayes Practical.ipynb		Naive Bayes Practical.ipynb
Naive Bayes Practical.ipynb.zip		Naive Bayes Practical.ipynb.zip

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