ml algorithm explanations

(formulas for the model like senstivity and specifity f1score,precision)

https://blog.exsilio.com/all/accuracy-precision-recall-f1-score-interpretation-of-performance-measures/

https://towardsdatascience.com/accuracy-precision-recall-or-f1-331fb37c5cb9

it has good explanation about the algorithms of ml

https://towardsdatascience.com/a-tour-of-the-top-10-algorithms-for-machine-learning-newbies-dde4edffae11

(all programes tutorials with clear explanation)

https://data-flair.training/blogs/svm-support-vector-machine-tutorial/

(linear regression explanation)

https://towardsdatascience.com/simple-and-multiple-linear-regression-in-python-c928425168f9

(edureka best machine learning tutorial)

https://www.edureka.co/blog/what-is-machine-learning/ (code for linear regression in python)

https://towardsdatascience.com/linear-regression-using-python-ce21aa90ade6

datatypes in machine learning

https://towardsdatascience.com/data-types-in-statistics-347e152e8bee

(Logistic Regression best with theory)

https://medium.com/analytics-vidhya/a-guide-to-machine-learning-in-r-for-beginners-part-5-4c00f2366b90