Vectorization and Unsupervised Learning of Mouse Operation Taxonomic Units to determine which species of bacteria form distinct groups in a dataset.
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Updated
Apr 22, 2018 - Jupyter Notebook
Vectorization and Unsupervised Learning of Mouse Operation Taxonomic Units to determine which species of bacteria form distinct groups in a dataset.
Collections of notebooks introducing Neural networks
A multi-class classification problem where the task is to classify a file to one of 9 types of Malware usually found in a Windows system, using information from the raw data and metadata of the file.
Automatic classification of consumer goods from text and images
Used several clustering algorithms to explore whether the patients can be placed into distinct groups so that myopia, or nearsightedness can be predicted.
TeeSnee is an algorithm designed to take high-dimensional gene expression data and represent it in low-dimensional space.
t-distributed stochastic neighborhood embedding (t-SNE) is a unsupervised non-linear dimensionality reduction and data visualization technique. The math behind t-SNE is quite complex but the idea is simple. It embeds the points from a higher dimension to a lower dimension trying to preserve the neighborhood of that point. I compared PCA and t-SN…
Deep Learning vs Tranditional ML methods for TB Drug Resistance prediction from Genomic data
Clustering of 1,135 Arabidopsis thaliana genomes from 1001 Genomes Project (https://1001genomes.org/)
Performed feature extraction and similarity lookup on Caltech101.
Cryptocurrency Clusters
Analysis & Prediction of Breast Cancer Diagnostic Data Set using Machine Learning
Various Machine Learning Projects
"Welcome to my GitHub repository! Here, you'll find a hub of projects and code dedicated to the fascinating world of statistical analytics. From crunching numbers to extracting meaningful insights, join me on a journey through the realm of data-driven decision-making. Let's explore the power of statistics together!"
Visualization of various image data using Principal Component Analysis and t-SNE
Analysis of the phylogeny and domains of OLIG2, as well as its expression in cerebral cells using t-SNE. And a chip-seq analysis to further investigate OLIG2 function.
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