Statistics

Kernel Density Estimation — A Gentle Introduction to Non-Parametric Statistics
Kernel Density Estimation is One of the Foundational Concepts in Non-Parametric Statistics. Let Me Take You on an Intuitive Ride Around This Topic.
Feb 3, 2023 1 min read Statistics, Machine Learning
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Kernel Density Estimation — A Gentle Introduction to Non-Parametric Statistics
Revisiting Logistic Regression — A Gentle Introduction to Generalized Linear Models
Brush Up on Your Foundational Machine Learning and Statistics Concepts With an Intuitive, Yet Rigorous Explanation of Logistic Regression and Generalized Linear Models.
Feb 3, 2023 1 min read Statistics, Machine Learning
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Revisiting Logistic Regression — A Gentle Introduction to Generalized Linear Models
Perceptions of Poverty
Designing a novel Contrastive Perturbative (CP) Framework for estimating adjustable perception-based weights for poverty indicators relevant for Indian context using Discrete Choice Models
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Perceptions of Poverty
Face Recognition Psychology
Psychological analysis of face recognition abilities and tendency among humans using survey and psychological techniques with categorical data analysis
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Face Recognition Psychology
Digit Span Test
R Shiny Webapp to conduct and provide dashboard results for Digit Span Psychology Test for measuring Short-Term Memory Capacity with detailed analysis of performance
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Digit Span Test
Pro-Environmental Attitude Analysis
Study on the pro-environmental attitude among college students of India and suggesting necessary measures leveraging statistical inference techniques.
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Pro-Environmental Attitude Analysis
Vector Map Stitching
Created a Webapp for generating global vector map by stitching local locations on map screenshots using Linear Statistical Model and also presenting residual analysis.
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Vector Map Stitching
Alzheimer's Disease Data Analysis
Logistic Regression was used to identify genes responsible for Alzheimer’s Disease with high accuracy, sensitivity and specificity paired with great visualization
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Alzheimer's Disease Data Analysis
Image Segmentation
Implemented Expectation-Maximization Algorithm from scratch for image segmentation with Gaussian Mixture Model and its application to Brain Images and written notes
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Image Segmentation
Video Background Subtraction
A fast video background subtraction that generates mask of moving foreground objects for surveillance videos using Kernel Density Estimation and thresholding
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Video Background Subtraction