JShollaj/ExpectationMaximizationKM

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JShollaj/ExpectationMaximizationKM

JShollaj

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Utilizing the Expectation Maximization KMeans Algorithm on Simulated Data

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Using SVM for linearly separable Iris Dataset

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Beginner Project creating a smart contract which will send the fortune after a relative passes away

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Introductory Guide

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Various models which predict diabetes in US

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Utilizing Hierarchical Agglomerative Clustering on Customer Segmentation

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SVM for Non Linear Separable Data

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Testing Django Deployment

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Using Monte Carlo Simulation, convex optimization and lineal programming to optimize portfolio of stocks and cryptocurrencies

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Cutting hierarchical clusterings into flat clusterings for the malignant and benign tumor for breast cancer data

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Here I used several methods such as IV, 2SLS, DiD, RTC etc. to resolve biases in estimating models through OLS.

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Clustering Malignant vs Benign Cancer types

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KNN-On-Iris-Dataset2

Finding best K for our dataset

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Here we perform ordinary least squares for residual values to observe the right instrumental variables for a sample train dataset

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Code reference to UCB Multiarmed Bandits Framework in R

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Important R libraries with Examples

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Testing linear regression function in R

VisualizingExpectationMaximization

To get a better understanding of how the expectation maximization works, we will visualize our findings

KNN-On-Iris-Dataset

KNN On Iris Dataset

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Using-SVM-on-Iris-Dataset

Using SVM on Iris Dataset

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