1. R for Health Data Science (ed.ac.uk)
3. Data Analysis and Visualization in R for Ecologists (datacarpentry.org)
4. The Effect: An Introduction to Research Design and Causality | The Effect (theeffectbook.net)
5. Chapter 1 Introduction | ISLR tidymodels Labs (emilhvitfeldt.github.io)
6. R for applied epidemiology and public health | The Epidemiologist R Handbook (epirhandbook.com)
7. The lidR package (jean-romain.github.io)
8. Earth Lab: Free, online courses, tutorials and tools | Earth Data Science - Earth Lab
9. Collaborative Data Science for Healthcare
10. https://www.mltut.com/best-online-courses-for-data-science-with-r/
12. https://www.educateai.org/the-most-popular-machine-learning-courses/
14. https://github.com/addy1997/Machine_Learning_Resources
15. https://bookdown.org/mwheymans/bookmi/
16. https://www.routledge.com/go/ids -- paid Book Series
17. https://www.routledge.com/Chapman--HallCRC-The-R-Series/book-series/CRCTHERSER -- paid Book Series
On Bayesian Philosophy, Confidence vs. Credibility
for frequentists, a probability is a measure of the frequency of repeated events
→ parameters are fixed (but unknown), and data are random for Bayesians,
a probability is a measure of the degree of certainty about values
→ parameters are random and data are fixed
Bayesians: Given our observed data, there is a 95% probability that the true value of θ falls within the credible region
vs.
Frequentists: There is a 95% probability that when I compute a confidence interval
from data of this sort, the true value of θ will fall within it.
Difference between CHI-Square and Proportions Testing
The chi-squared test of independence (or association) and the two-sample proportions test are related. The main difference is that the chi-squared test is more general while the 2-sample proportions test is more specific. And, it happens that the proportions test is more targeted at specifically the type of data you have.
The chi-squared test handles two categorical variables where each one can have two or more values. And, it tests whether there is an association between the categorical variables. However, it does not provide an estimate of the effect size or a CI. If you used the chi-squared test with the Pfizer data, you’d presumably obtain significant results and know that an association exists, but not the nature or strength of that association.
The two proportions test also works with categorical data but you must have two variables that each have two levels. In other words, you’re dealing with binary data and, hence, the binomial distribution. The Pfizer data you had fits this exactly. One of the variables is experimental group: control or vaccine. The other variable is COVID status: infected or not infected. Where it really shines in comparison to the chi-squared test is that it gives you an effect size and a CI for the effect size. Proportions and percentages are basically the same thing, but displayed differently: 0.75 vs. 75%.
Difference between 2-Sample t-test and CHI-Square
CHI-Square is for categorical data and the t-test is for continuous data
https://htmlcolorcodes.com/color-picker/
https://www.w3schools.com/colors/colors_hexadecimal.asp
https://sourceforge.net/directory/os:windows/?q=hex+color
https://www.softpedia.com/get/Multimedia/Graphic/Graphic-Others/HEX-RGB-color-codes.shtml
https://www.umsiko.co.za/links/RGB-ColourNamesHex.pdf
http://www.workwithcolor.com/color-chart-full-01.htm
https://weschool.files.wordpress.com/2016/03/rgb-colournameshex.pdf
Sampling Methods | Types and Techniques Explained: https://www.scribbr.com/methodology/sampling-methods/
Introduction to Machine Learning by Duke University: https://exploreroftruth.medium.com/free-coursera-course-introduction-to-machine-learning-offered-by-duke-university-f229534e1e8e
Zero-Inflated Regression: https://towardsdatascience.com/zero-inflated-regression-c7dfc656d8af
Logistic Regression, Sigmoid Function: https://towardsdatascience.com/logistic-regression-cebee0728cbf
Experiment Guide : https://experimentguide.com/
GMF Tooliing : https://github.com/eclipse/gmf-tooling
Best data science certification : https://www.kdnuggets.com/2020/11/best-data-science-certification-never-heard.html
Introduction to K fold cross validation in R : https://www.analyticsvidhya.com/blog/2021/03/introduction-to-k-fold-cross-validation-in-r/
A Gentle Introduction to PyTorch Library for Deep Learning : https://www.analyticsvidhya.com/blog/2021/04/a-gentle-introduction-to-pytorch-library/
DeepONet: A deep neural network-based model to approximate linear and nonlinear operators : https://techxplore.com/news/2021-04-deeponet-deep-neural-network-based-approximate.html
Deep Neural Network in R : https://www.r-bloggers.com/2021/04/deep-neural-network-in-r/
Best Python Course : https://courseretriever.com/python/
Top AI and ML MOOC : https://towardsdatascience.com/top-20-free-data-science-ml-and-ai-moocs-on-the-internet-4036bd0aac12
MBA Admission essays : https://www.usnews.com/education/best-graduate-schools/top-business-schools/applying/articles/2016-10-25/2-mba-admissions-essays-that-worked
Dropbox for covid-19 : https://www.dropbox.com/sh/akc525jjq3dp485/AADgo6WsT1RBpZqahmj_k-v_a/SIR/italy_fit.py?dl=0
24 best free books for ML : https://www.kdnuggets.com/2020/03/24-best-free-books-understand-machine-learning.html
Data Science Project Portfolio : https://www.kdnuggets.com/2021/02/best-data-science-project-portfolio.html
First Data Science job without experience : https://www.kdnuggets.com/2021/02/first-job-data-science-without-work-experience.html
Data science offers 2 time doubled income : https://www.kdnuggets.com/2021/01/data-science-offers-doubled-income-2-months.html
benford law study :
file:///C:/Users/sahmed88/Downloads/benfords-law-and-the-detection-of-election-fraud.pdf