
Frequent Pattern Growth (FP-Growth) Algorithm
What is FP-Growth Algorithm?The FP-Growth Algorithm is an advanced data mining technique used to find frequent itemsets without generating candidate sets. It wa

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What is FP-Growth Algorithm?The FP-Growth Algorithm is an advanced data mining technique used to find frequent itemsets without generating candidate sets. It wa


Binary SearchIntuition:Binary search is an efficient algorithm to find a target value within a sorted array. It works on the idea of repeatedly dividing the sea



Tower of hanoi1. Problem ExplanationThe Tower of Hanoi is a classic recursive problem.You are given:Three pegs: A (source), B (auxiliary), C (destination)n disk

Greedy Approach for Algorithm DesignThe Greedy Approach is a simple and fast algorithm design technique. At every step, it picks the best possible choice at tha


Merge SortMerge Sort is a Divide and Conquer algorithm.Given an array a[1…N], merge sort works as follows:Divide the array into two equal halves.Recursively app

Quick SortIt is a popular sorting method based on the divide-and-conquer approach. Unlike merge sort, where the division is always in the middle, in quicksort t


Random Forest (ID3 algorithm)Random Forest is a machine-learning algorithm that builds many decision trees and then combines their results to make a better fina

DAA Assignment 1Compare the growth of the functions and lett(n) = g(n) = This is an form, so apply L'Hopital's RuleApply L hopital Ruledifferentiate the numer

Compare the growth of two functions0 implies has smaller order of growth than c implies has same order of growth as implies has larger order of growth than

HWI Practice1. Subarrays with Even Sum Starting with Odd NumberProblem: Find the number of subarrays with an even sum that start with an odd number.Approach: Pr


Manacher's Algorithm (hard)Manacher’s Algorithm finds the longest palindromic substring in linear time by reusing previously computed palindrome information. In

Decision Tree Algorithm✅ Steps to Construct a Decision TreePlace the best feature (attribute) of the dataset at the root of the tree.Split the training set into

Apriori Algorithm in Machine LearningThe Apriori Algorithm is used for association rule learning on transactional databases. It identifies frequent itemsets and


AlgorithmConstruct the decision tree using the algorithm for the given data set.S.noAgeCompetitionTypeProfit (Class)1OldYesSoftDown2OldNoSoftDown3OldNoHardDown
