Sequence Model

  EVEN DIFFERENCES: for i in range(int(input())):     n=int(input())     arr=[int(i) for i in input().split()]     count=0     count1=0     for i in range(n):         if arr[i]%2!=0:             count+=1         else:             count1+=1     if count1<count:         print(count1)     else:         print(count)                                    

Probability:  https://www.investopedia.com/terms/c/conditional_probability.asp https://towardsdatascience.com/machine-learning-probability-statistics-f830f8c09326 https://www.probabilitycourse.com/chapter1/1_4_5_solved3.php Statistics : Follow jason Brownlee Book  https://towardsdatascience.com/machine-learning-probability-statistics-f830f8c09326 Eigen Vectors And Eigen Values : https://machinelearningmastery.com/introduction-to-eigendecomposition-eigenvalues-and-eigenvectors/ https://www.youtube.com/watch?v=h8sg_XBp6VA&ab_channel=SolveIt Probability Distributions - Discrete Probability Distribution - pmf : https://www.youtube.com/watch?v=RloMUUEagCI&ab_channel=MathsTinyVideos-MTV Checking hwther the probability is PMF or not ?: Probability density function and  Cummulative density function : https://medium.com/towards-artificial-intelligence/pdf-cdf-in-machine-learning-5a10f7abeef6 Normalization: https://www.calculushowto.com/types-of-functions/normalized-functio...