Hey Folks, we are providing Here Data Analytics with Python Week 11 Assignment 2023 . Data Analytics defines that it is the Process of extracting insights and knowledge from data using the python Programming Language. By Using this Data Analytics you can Perform Various tasks like Cleaning, Wrangling, and transforming Data and analyzing and summarizing using Statical Methods. 

Come with us until the last to know the answers of this week. 

Read More: Joy Of Computing Using Python Answers

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NPTEL (National Program on Technology Enhanced Learning) is a joint initiative by the Indian Institutes of Technology (IITs) and Indian Institute of Science (IISc) aimed at improving the quality of engineering education in India. It provides free online courses and certification in various disciplines such as engineering, science, management, and humanities. The courses are created and taught by professors from IITs and IISc and are accessible to anyone, anywhere, at any time. NPTEL courses include video lectures, course materials, assignments, and exams, and are available in both English and Hindi. NPTEL also offers certification for completing its courses, which can be useful for career advancement or higher studies.

FAQ

**  What is data analytics with Python?

Data analytics with Python is the process of analyzing and extracting insights from data using Python programming language.

** Why is Python used for data analytics?

Python is a popular language for data analytics because it offers a wide range of libraries and tools for data manipulation, analysis, and visualization. It is also a user-friendly language that is easy to learn and use.

** What are the most commonly used libraries for data analytics with Python?

Some commonly used libraries for data analytics with Python include NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, and TensorFlow.

** What are some common tasks that can be performed with data analytics in Python?

Some common tasks that can be performed with data analytics in Python include data cleaning, data wrangling, data visualization, statistical analysis, and machine learning.

** What are the career prospects for data analytics with Python?

Data analytics is a highly sought-after field, and proficiency in Python for data analytics can open up various career opportunities in industries such as finance, healthcare, marketing, and technology.

** Where can I learn data analytics with Python?

You can learn data analytics with Python through various online courses, books, and tutorials. Some popular online platforms for learning include Coursera, Udemy, edX, and DataCamp.

NPTEL Data Analytics With Python Week 11 Assignment 2023

Q1. What is the most appropriate no of Clusters for the data points represented by the following 

        dendogram ? 

a. 2 

b. 4

c. 6

d. 8 

Answer: [ B ] 4

Q2. What is the advantage of Hierarchical clustering over K-means clustering ? 

a. Hierarchical clustering is Computationally faster than K Means 

b. you don't have to assign the no of clusters from the beginning in the case of hierarchical clustering. 

c. both are equally proficient 

d. None of these

Answer: [ b ]  you don't have to assign the no of clusters from the beginning in the case of hierarchical clustering. 

Q3. For the given dendogram, what would be the threshold value for the total no of clusters equal to 4.

a. 10000

b. 15000

c. 20000

d. 5000

Answer: [ B ] 15000

Q4. Which Clustering Requires a merging Approach ? 

a. Partitional 

b. Hierarchical 

c. Native Buyers 

d. None of these

Answer: [ B ] Hierarchical

Q5. The Euclidean and Manhattan distance between X ( 3,4 ) and the Origin is _____ Respectively. 

a. 5 and 1 

b. 1 and 5 

c. 5 and 7 

d. None of these

Answer: [ C ] 5 and 7 

Q6. The Iris Dataset Contains information about iris setosa and versicolor. What is the Euclidean distance between these two objects. 

a. 2.8

b. 4.6

c. 22.6

d. -3.6

Answer: [ A ] 2.8

Q7. Which of the following is required by K - Clustering ? 

a. defined distance metric 

b. number of clusters 

c. initial guess as to cluster centroids 

d. All of these

Answer: [ D ] All of these 

Q8. Consider the K- Mean Algorithm after Current Iteration, We have 3 Clusters A, B and C with Centroids (0,1) (2,1) (-1,2) respectively. Which Cluster will be the points  (2,3) and ( 2,0.5) be assigned to in next iteration ? 

a. Cluster A 

b. Cluster B 

c. Cluster C 

d. None of these

Answer: [ B ] Cluster B 

Q9. State True or false 

       The k- means algorithm is sensitive to outliners. 

a. True 

b. False

Answer: [ A ] True 

Q10. State True or False 

         Irrespective of the initial Choice of Pameters, K- Means Algorithm will Always Converge to same final Clusters. 

a. True 

b. False

Answer: [ B ] False 

Read More: Joy Of Computing Using Python Answers

Conclusion: 

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