shraddhasomani Goto Github PK
Name: Shraddha Somani
Type: User
Name: Shraddha Somani
Type: User
The goal of the project was to predict whether an employee will stay or leave the company within the next year. Two data modeling techniques are used here: Logistic Regression and Decision Tress.
Analyzed MTA turnstile data using pandas to determine the peak hours and understand the ridership behavior.
Simple/Multiple/Stepwise Linear Regression, ANOVA, Residuals, T/Chi-Sq Test, GLM/OLS/Poisson/Binomial Regression, Outlier Detection, Confidence Interval, Cooks Distance, Box-Cox/Log/SqRoot Transform
It contains files which helps us analyze twitter sentiments, a process of identifying opinions about the writer's attitude towards a particular topic is +ve, -ve, or neutral
It contains files which helps us analyze yelp user review sentiments, a process of identifying opinions about the writer's attitude towards a particular topic is +ve, -ve, or neutral
Analyze NASDAQ100 stock data. Used ARIMA + GARCH model and machine learning techniques Naive Bayes and Decision tree to determine if we go long or short for a given stock on a particular day
This repository contains sample Tableau dashboards - https://public.tableau.com/profile/shraddha.somani
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