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Implementation of various feature selection methods using TensorFlow library.
Python script to generate .snp and .ind Eigenstrat files from a PHYLIP infile
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 manager draw appropriate inferences
Predicting Delivery Time Using Sorting Time
This project attempted to analyze if race and age had any effects on the frequency of mental health issues in older adults.
Functional specification to calculate per country's happiness score
Simple Linear Regression
Econometrics project that aims to analyze the relationship between Reservoir Water Level and various Power Inequalities in different states of India.
A basic comparison of different statistical methods for data understanding and exploration.
Compare the means of two groups (male & female) body temparatures
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.