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shwet17's Projects

anova-pca icon anova-pca

Drug Analysis using ANOVA and Principal Component Analysis on College Admissions Data

data-mining icon data-mining

The project involved drawing inferences from 2 case studies, namely - Bank Marketing & Insurance. The concepts of Clustering, CART, Random Forest, Artificial Neural Network are used to draw inferences from these case studies. Various performance metrics have been used to validate the performance of predictions on Test & Train sets.

ehrapy icon ehrapy

Electronic Health Record Analysis with Python.

house-price-prediction icon house-price-prediction

Exploratory Data Analysis -Principal Component Analysis - Random Forest - TABLEAU - Linear Regression

machine-learning icon machine-learning

Text Mining Analytics Support Vector Machine - K Nearest Neighbour - Naive Bayes Ensemble Techniques Logistic Regression - Linear Discriminant Analysis

predictive-modeling icon predictive-modeling

concepts of linear regression, logistic regression and linear discriminant analysis are tested

single-cell-tutorial icon single-cell-tutorial

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

stats-2 icon stats-2

Statistical & Probabilistic Analysis of Store Sales, University Survey, & Manufacturing data

time-series-forecasting icon time-series-forecasting

Analyzed historical monthly sales data of a company. Created multiple forecast models for two different products of a particular Wine Estate and recommended the optimum forecasting model to predict monthly sales for the next 12 months along with appropriate lower and upper confidence limits

uber-drive icon uber-drive

The project is based on the trips made by Uber drivers. Different aspects of the trip are analyzed by using different functions in Python.

vcf2gwas icon vcf2gwas

Python API for comprehensive GWAS analysis using GEMMA

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