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# Preformance Measures

October 14, 2018 admin Leave a comment

Classification Based Problems A self explanatory table from Wikipedia called Confusion Matrix is as shown below. Confusion Matrix Confusion Matrix…

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Posted in: MachineLearning

# Handling Missing Data

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Sklearn preprocessing libraries Numerical Data – Imputer Replace the missing data (NaNs) with 1. Zero or least impactful data 2.…

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Posted in: Uncategorized

# Linear Regression

October 13, 2018 admin Leave a comment

Let’s first consider a situation where you need to predict something based on the previous data. For example, the rent…

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Posted in: MachineLearning Filed under: ML

# ML – Covariance and Correlation

October 1, 2018 admin Leave a comment

Covariance Mean of a random variable X Also called as expectation of X. Variance of the population: This can also…

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Posted in: MachineLearning Filed under: ML

# ML – Support Vector Machines (SVM)

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Linear SVM The loss function for a logistic regression model is given by     The output of the logistic…

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Posted in: MachineLearning Filed under: ML

# ML – Principal Component Analysis

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Principal Component Analysis The first step is to do mean normalization and feature scaling. This is to make sure that…

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Posted in: MachineLearning Filed under: ML

# Image Processing – JPEG

September 29, 2018 admin Leave a comment

Image Processing – JPEG A Digital Image Spatial Resolution/Sampling: Number of pixels in x and y axis. Quantization: Number of…

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Posted in: ImageProcessing
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