Jul 15

How different Canadian Regions/Provinces compare for Health Status Indicators?

As my code found using a dataset (on Health System Performance) from CIHI, Canada.

Available Data Averaged for 2013 to 2017

Health Status Indicators:

['Cancer Mortality (F)',
'Cancer Mortality (M)',
'Heart Disease Mortality',
'Infant Mortality',
'Life Expectancy at Birth (F)',
'Life Expectancy at Birth (M)',
'Perceived Health Status',
'Stroke Mortality',
'Suicide (F)',
'Suicide (M)',
'Transport Accident Mortality (F)',
'Transport Accident Mortality (M)'],

Jul 13

Transport Accident Mortality (Male) over a year : 2017

Compare Transport Accident Mortality (Male) for 2017 across countries (based on the data available). The same information plotted in different ways.

The values either indicate per 100k or just indicate a relative scale

Colors in the Bubble chart (also in the pie chart) were used to indicate different countries

Colors in bar charts do not add any additional meaning

Pie chart is not the best use case for this type of information. Pie chart is best suited to show information where there is one (or very few) prominent player(s)

Dataset: from CIHI, Canada

Jul 11

Transport Accident Mortality Across Countries and Canadian Provinces

Transport Accident Mortality Across Countries and Canadian Provinces: A Visualization experiment: Does it look right?

Dataset: from cihi.ca, the dataset usually uses counts per 100,000 population. The values might mean out of 100,000 (need verifications on my part) or values can just be taken as relative.

Jul 09

AI/ML/Data Science: Cross Validation: KFold Cross validation: Concepts, Examples, Projects

Train/Test Split and Cross Validation in Python

https://towardsdatascience.com/train-test-split-and-cross-validation-in-python-80b61beca4b6

sklearn.ensemble.RandomForestRegressor

https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html

"A random forest regressor.
A random forest is a meta estimator that fits a number of classifying decision trees on various sub-samples of the dataset and uses averaging to improve the predictive accuracy and control over-fitting. The sub-sample size is always the same as the original input sample size but the samples are drawn with replacement if bootstrap=True (default)."

Jul 07

Prediction: Bayesian: Regression: Concepts/Example Projects

Insurance HealthCare Costs: https://github.com/techshot25/HealthCare

Linear and Bayesian modeling in R: Predicting movie popularity

https://towardsdatascience.com/linear-and-bayesian-modelling-in-r-predicting-movie-popularity-6c8ef0a44184

Bayesian-Stock-Price-Prediction
https://github.com/lschlessinger1/Bayesian-Stock-Price-Prediction

Bayesian Prediction: Well (Oil) Production

https://github.com/jpgrana/bayesian-approach-predicting-well-production

Binary Classification on Stock Market (S&P 500) using Naive Bayes and Logistic Regression

https://github.com/NeilPrabhu/Stock-Prediction

Naive Bayes Weather Prediction

https://github.com/husnainfareed/simple-naive-bayes-weather-prediction/blob/master/bayes.py

Regression Predict Fuel Efficiency:
https://www.tensorflow.org/tutorials/keras/basic_regression

Regression-Example-Predicting-House-Prices

https://github.com/andersy005/deep-learning/blob/master/keras/04-A-Regression-Example-Predicting-House-Prices.ipynb

Stock Price Prediction using Regression

https://github.com/chaitjo/regression-stock-prediction

Concept:

Predicting the Future with Bayes’ Theorem

https://fs.blog/2018/09/bayes-theorem/

Chapter 5 – Bayesian Prediction

https://www.sciencedirect.com/science/article/pii/B9780123748546000089

Books:

Bayesian Methods for Hackers

https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

Multiple-linear-regression
https://github.com/topics/multiple-linear-regression

Making Predictions with Regression Analysis

https://statisticsbyjim.com/regression/predictions-regression/

Regression and Prediction
http://jukebox.esc13.net/untdeveloper/RM/Stats_Module_5/Stats_Module_56.html

Jul 07

Visualizing the Indicator Methodology Terms for the Health System Performance in Canada

File: indicator-methodology.xls

From: https://www.cihi.ca/sites/default/files/document/oecd-benchmarking-canadas-health-systems -2017-en-web.xlsx

Jul 07

Visualizing the Indicator Methodology Terms for the Health System Performance in Canada

File: indicator-methodology.xls
From: https://www.cihi.ca/sites/default/files/document/oecd-benchmarking-canadas-health-systems -2017-en-web.xlsx

Jul 07

Statistics: Data Science: Kaiser-Meyer-Olkin (KMO) Test

Kaiser-Meyer-Olkin (KMO) Test for Sampling Adequacy

https://www.statisticshowto.datasciencecentral.com/kaiser-meyer-olkin/

KMO and Bartlett’s Test

https://www.ibm.com/support/knowledgecenter/SSLVMB_23.0.0/spss/tutorials/fac_telco_kmo_01.html

What should be ideal KMO value for factor analysis?

https://www.researchgate.net/post/What_should_be_ideal_KMO_value_for_factor_analysis

Jul 05

PCA: Understand the affecting Factors for your portfolio, or credit score, or food pattern (causing diseases)

Overview for Principal Components Analysis

https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/multivariate/how-to/principal-components/before-you-start/overview/

" The goal of principal components analysis is to explain the maximum amount of variance with the fewest number of principal components."

Interpret the key results for Principal Components Analysis

https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/multivariate/how-to/principal-components/interpret-the-results/key-results/

Interpret all statistics and graphs for Principal Components Analysis

https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/multivariate/how-to/principal-components/interpret-the-results/all-statistics-and-graphs/

Methods and formulas for Principal Components Analysis

https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/multivariate/how-to/principal-components/methods-and-formulas/methods-and-formulas/

A step by step explanation of Principal Component Analysis

https://towardsdatascience.com/a-step-by-step-explanation-of-principal-component-analysis-b836fb9c97e2

Principal Component Analysis in Python

https://plot.ly/ipython-notebooks/principal-component-analysis/

Principal Component Analysis: How to reveal the most important variables in your data? – R software and data mining

http://www.sthda.com/english/wiki/print.php?id=204

Articles – Principal Component Methods in R: Practical Guide

http://www.sthda.com/english/articles/31-principal-component-methods-in-r-practical-guide/112-pca-principal-component-analysis-essentials/

Practical Guide to Principal Component Analysis (PCA) in R & Python

https://www.analyticsvidhya.com/blog/2016/03/practical-guide-principal-component-analysis-python/

Principal Component Analysis

http://www.nonlinear.com/support/progenesis/lc-ms/faq/v4.1/pca.aspx

Jul 03

Your Root Password does not work for Linux/Unix? Though you are 100% certain that you know the password

Who changed that and why?

How to change root password on CentOS Linux

https://www.cyberciti.biz/faq/how-to-change-root-password-on-centos-linux/
https://www.cyberciti.biz/faq/how-to-change-root-password-on-centos-linux/

–
How to change root password in Ubuntu Linux

https://www.cyberciti.biz/faq/change-root-password-ubuntu-linux/
https://phoenixnap.com/kb/change-root-password-ubuntu
–
Solaris:Unix:Changing Root’s Password
https://docs.oracle.com/cd/E19455-01/806-1387/a08paswd-26/index.html

–

IBM-AIX: Unix: Reset Root Password

https://www.ibm.com/support/knowledgecenter/en/ssw_aix_71/com.ibm.aix.osdevice/HT_baseadmn_recoverrootpswd.htm