Implementation of various feature selection methods using TensorFlow library.
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Updated
Nov 21, 2022 - Python
Implementation of various feature selection methods using TensorFlow library.
GPU/CUDA-13 f-statistics, qpAdm/qpWave, qpGraph topology search, DATES
Time Domain F-statistics pipeline
Python script to generate .snp and .ind Eigenstrat files from a PHYLIP infile
Simple Linear Regression
Predicting Delivery Time Using Sorting Time
TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5% significance level and help the man…
Anova
Functional specification to calculate per country's happiness score
Assignment 2 for Statistical Learning. Grocery data analysis using different subset selection techniques.
Econometrics project that aims to analyze the relationship between Reservoir Water Level and various Power Inequalities in different states of India.
Topics covered in Probability distribution with python codes
project to predict smartphone sales based on the marketing budget spent on advertising using three platforms involves collecting data on marketing spending and smartphone sales, and using statistical and machine learning techniques to build a model that can predict future smartphone sales based on changes in marketing budget.
Compare the means of two groups (male & female) body temparatures
A basic comparison of different statistical methods for data understanding and exploration.
Graphical tool for 2-way admixture modelling in population genetics based on f -statistics geometry (Pre-publication fossil v0.4). August 2025.
Validated AADR pipeline for credibility-aware Neanderthal ancestry and Denisovan-affinity analyses.
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