Visit the app at LA Crime Predictor
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LA Crime Predictor
Using Linear Regression
Facial Recognition Using Principal Component Analysis
Principal Component Analysis (PCA) is a statistical/linear algebra method that uses orthogonal transformations to decompose a piece of data with potentially correlated components into a linearly uncorrelated set of data containing principal components. In doing PCA, a new coordintate system is found such that the greatest variance by any projection...
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News Group Topic Modelling
Natural Language Processing with Kmeans Clustering
Import Libraries
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Machine Learning Tutorial [Iris Dataset]
Model Performance using accuracy_score
Import Libraries
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Welcome!
Welcome to my blog where I share reports of some of my Data Science exploits.