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Created over 4 years ago
Updated over 4 years ago

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Build logistic regression model to predict likely credit card default applicants

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Explore the technique of normalizing image and filters, which is practical when performing computer vision tasks

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Run the capital asset pricing model in R, with market and risk-free data

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Explore some image manipulation techniques that can be used together to separate objects within an image

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Run Fama three factor model and compare with CAPM model to evaluate the difference

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Use kmeans cluster method to gain insight about automobile customer preference

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Use factor analysis to investigate the reasons why people want to travel

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Pre-processing the image into standardized form for computer vision tasks

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Use Microsoft cognitive toolkit to perform language understanding task

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Use PCA to gain insight about the factors that influence brand value

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Build and train a Multiclass Logistic Regression model using the popular MNIST dataset

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Demonstration of how to build a basic ConvNet image classifier using Pytorch

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Build a Convolutional Neural Network (ConvNet) using Microsoft Cognitive Toolkit

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Use generalized linear model and panel data model to analyze the data related to US college admission

changseverus/Credit-card-default-Logistic-Regression

changseverus

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