Understanding Linearity of Expectation
Linearity of expectation is a powerful concept in probability theory that simplifies the calculation of expected values in probabilistic experiments.
Normalization and Scaling in Python using ML Libraries
These plots visualize the distributions of the original data and the data after applying each normalization technique.
Gaussian Distribution in Normalization
Gaussian distribution or normal distribution, is significant in data science because of its frequent appearance across numerous datasets.
Normalization – Data Science
Normalization can improve the performance of machine learning algorithms, especially those that are sensitive to feature scales.
What is Data Science?
Data science encompasses a broader set of activities than machine learning, including data preprocessing, model selection and evaluation.
Sudoku Solver using Backtracking
Let’s implement a Sudoku solver using a backtracking & recursive algorithm for the grid of variable size (N x N).
Estimating Percolation in a Matrix Network
Dynamic connectivity algorithms provide an efficient way to model and analyze percolation in a grid of sites.
C++ Standard Template Library (STL) – [Deque]
Deque is a double-ended queue that provides dynamic resizing and efficient insertion and deletion of elements from both ends.
Finding the Next Lexicographically Greater Permutation
Given an input sequence in the form of an array, find the lexicographically next greater permutation if it exists.
Finding Permutations that Form the Sum | Coin Change Permutation
Find the number of permutations to form the target sum using the elements of the given array, with repetition allowed.