Data Science, Machine Learning and more..

    Following Article is a list of some terminologies and explanations in software development with a focus on Data Science. Module:       What can we do to reuse a function or a class that we have already written? Suppose we write a function to find Euclidean norm and the least square error while writing code for linear regression. We may need the same while writing code for K-nearest neighbors.      For the purpose of reusing the codes we can write such sharable functions in a single file. Lets save it as a 'lin_alg.py' and import it while we are writing code for linear regression and KNN.  import lin_alg lin_alg.least_sq_er(y,y_pred)  Package:       We can have a module to reuse code. But how much will it contain? There may be 100-200 functions or more used. We have two problems here, first is the space required to store every function. If we want to just calculate the euclidean ...

I came across an interesting question in Code Signal.   "Given a sequence of integers as an array, determine whether it is possible to obtain a strictly increasing sequence by removing no more than one element from the array."                                                                                                         It is strictly increasing if every element in the array is greater than its successor.     For a strictly increasing sequence we can check for each element whether it is greater than the next. In that case we can come to a conclusion that this sequence is not strictl...