R package for data cleaning, preliminary data analysis and modeling assessing with visualisation.
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Updated
Jul 27, 2018 - R
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preliminary-analysis
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The dataset contains information regarding residential properties which were collected by the US Census Service, the period 2006 to 2010.
feature-selection
imputation
linear-discriminant-analysis
leave-one-out-cross-validation
preliminary-analysis
numerical-and-graphical-summaries
logistic-regression-model
random-forest-and-boosting
validation-set-approach
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Jun 8, 2020
Project was designed and developed by conducting a feasibility study, A cost estimation model was built(COCOMO). Agile methodologies were used and Microsoft Project Planner were used to develop project.
agile
project-management
dynamics-365
scrum
cost
scope
cocomo
stakeholders
preliminary-analysis
project-planner
feasibility-study
waterfall-model
waterfall-methodology
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Jun 1, 2021
Dataset recording people to invest in each other in a way that is financially and socially rewarding. On loans, borrowers list loan requests between $ 2,000 and $ 35,000, and individual investors invest as little as $ 25 in each loan listing they select. Prosper handles the servicing of the loan on behalf of the matched borrowers and investors. …
feature-engineering
descriptive-statistics
multivariate-analysis
bivariate-analysis
preliminary-analysis
univariate-analysis
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Jun 29, 2022 - Jupyter Notebook
Preliminary study of open-domain generative chatbot using Sequence-to-sequence
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Oct 29, 2024 - Python
visualization
ggplot2
r
correlation
analysis
dplyr
rstudio
poll
report
factor-analysis
cluster-analysis
correspondence-analysis
preliminary-analysis
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Updated
Aug 7, 2024 - R
A project in Python to analyse and research about crimes in the Montgomery State of the United States
exploratory-data-analysis
data-visualization
statistical-analysis
data-cleaning
preliminary-analysis
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Oct 11, 2023 - Jupyter Notebook
Data Analysis & Visuals for April 2023 Pool Legislation Hearing
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Sep 17, 2024 - HTML
Statistical Modelling of Swine Flu Outbreak Data
data
analysis
modeling
sparse-data
diagnostics
logistic-regression
outlier-detection
goodness-of-fit
hypothesis-testing
model-building
model-interpretation
overdispersion
model-fitting
binomial-distribution
likelihood-ratio-test
forward-selection
significance-testing
preliminary-analysis
interaction-testing
anova-test
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Updated
Oct 27, 2020 - R
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