GitHub - webstedr6089/Machine-Learning: Samples demonstrating how to use Scikit-learn to build machine-learning models

Repository for samples demonstrating the fundamentals of machine learning

Name		Name	Last commit message	Last commit date
Latest commit History 116 Commits
Data		Data
Images		Images
.gitignore		.gitignore
Anomaly Detection (PCA).ipynb		Anomaly Detection (PCA).ipynb
CTL_Final_Project_BAA_Data_Extraction_into_Spreadsheet.ipynb		CTL_Final_Project_BAA_Data_Extraction_into_Spreadsheet.ipynb
Clustering.ipynb		Clustering.ipynb
Data Normalization.ipynb		Data Normalization.ipynb
Digit Classification.ipynb		Digit Classification.ipynb
E-Mail Classification.ipynb		E-Mail Classification.ipynb
Facial Recognition (SVM).ipynb		Facial Recognition (SVM).ipynb
Fraud Detection (Supervised).ipynb		Fraud Detection (Supervised).ipynb
Fraud Detection (Unsupervised).ipynb		Fraud Detection (Unsupervised).ipynb
Gradient-Boosting Regression.ipynb		Gradient-Boosting Regression.ipynb
Movie Recommendations.ipynb		Movie Recommendations.ipynb
Multiple Linear Regression.ipynb		Multiple Linear Regression.ipynb
Nearest Neighbors.ipynb		Nearest Neighbors.ipynb
On-Time Flight Arrivals.ipynb		On-Time Flight Arrivals.ipynb
PCA.ipynb		PCA.ipynb
README.md		README.md
Random Forest Regression.ipynb		Random Forest Regression.ipynb
Sentiment Analysis.ipynb		Sentiment Analysis.ipynb
Simple Linear Regression.ipynb		Simple Linear Regression.ipynb
Taxi Fares (Regression).ipynb		Taxi Fares (Regression).ipynb
Titanic (Logistic Regression).ipynb		Titanic (Logistic Regression).ipynb
Titanic (SVM).ipynb		Titanic (SVM).ipynb

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