Doubtly
@Doubtly · Joined Feb 2021
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- scrum vs kanban model vs waterfal vs spiral Aspect Scrum Kanban Waterfall Spiral Development Approach Agile Agile Sequential Iterative Process Flow Iterative Continuous Sequential Iter... 1
- What’s the difference between Linear and Logistic Regression? Linear regression predicts a continuous numeric value with a straight-line model; logistic regression predicts the probability of a class (u... 1
- Here is a list of some Resume Ready DevOps projects.
- JAVASCRIPT PROJECT IDEAS
- Find the standard deviation ofthe average temperatures recorded over a five-day period last winter: 19, 21, 18, 24, 12? Given Data: X = \19, 21, 18, 24, 12\ Formula for Sample Standard Deviation: s = sqrtfracΣ_(i=1)ⁿ (X_i - X)²n-1 Step by Step Solution: Find t... 1
- Show how we can classify new tuple (Homeowner=YES, Status=Employed, Income= Average) Using a decision tree (ID3), the new tuple (Homeowner = Yes, Status = Employed, Income = Average) is classified as Defaulted = Yes. The data... 1
- Suppose that the data mining task is to cluster the following items into two clusters. With initial means 2 and 4, K-Means gives K1 = 2, 3, 4, 10, 11, 12 (mean 7) and K2 = 20, 23, 25, 30, 56 (mean 30.8). K-Means algorithm Choos... 1
- What is clustering? Explain K-mean clustering algorithm.Suppose that the data mining With initial means 2 and 4, K-Means gives K1 = 2, 3, 4, 10, 11, 12 (mean 7) and K2 = 20, 25, 30 (mean 25). Clustering is unsupervised learni... 1
- Suppose that a data warehouse for Big_University consists of the four dimensions Student, Course, Semester a) A Snowflake Shema is shown in figure below: b) base cuboid [student, course, semester, instructor] The specific OLAP operations to be per... 2
- Explain with example confusion matrix, accuracy and precision . Confusion Matrix: Consider a binary classification problem where we aim to predict whether an email is spam or not spam. The confusion matri... 1
- Demonstrate with diagram the process of KDD. The term KDD stands for Knowledge Discovery in Databases. It refers to the broad procedure of discovering knowledge in data and emphasizes t... 1
- Explain features of data warehouse. Integrated: Data warehouses integrate data from various sources across the organization, ensuring a unified and consistent view. Subject-Ori... 1
- Consider the following axioms All people who are graduating are happy. All happy people smile. Someone is graduating. Answer are in the pictures 2
- Explain A* algorithm in detail. A* search algorithm : It’s a variation of Best First search where the evaluation of a state or a node not only depends on the heuristic valu... 2
- Draw and describe the architecture of Utility based agent. How is it different from Model based agent? The agents which are developed having their end uses as building blocks are called utility-based agents. When there are multiple possible al... 2
- Define chromosome, selection, fitness function, cross over and mutation as used in Genetic Algorithm. A genetic algorithm (GA) is a search/optimisation method based on natural evolution: a population of candidate solutions (chromosomes) is im... 1
- In a class, there are 80% of the students who like English and 30% of the students who likes English and Mathematics Given: 80% of the students like English 30% of the students like both English and Mathematics We want to find: The percentage of students wh... 2
- Draw and explain architecture of Expert System An expert system is a computer program that is designed to solve complex problems and to provide decision-making ability like a human expert... 1