Explain construction of Fund Flow Statement with example.
See Answer →Discuss the implication of GST on agricultural produce & value-added/ processed products.
See Answer →Explain the concept and shortcoming of the Agricultural Produce Market Committee (APMC)
See Answer →What is the need for a circular economy in India? Explain the government initiatives to promote circular economy and challenges for circular economy in India
See Answer →What do understand by the Gram Panchayat Development Plan (GPDP)? Explain its compoenents.
See Answer →Discuss the conceptual framework for resource planning.
See Answer →
Explain the key elements and strategies involved in agripreneurship development
See Answer →Discuss the importance and features of Agriculture Infrastructure Funds. Explain the system of managing this fund.
See Answer →What do you understand by agro-based enterprises? Discuss about major agrobased industries. Briefly explain the practices followed by a modern nursery.
See Answer →What do you mean by agri-startups? Discuss the various government support to promote agri startups. Briefly note the action plan for spreading the startup movement in India
See Answer →What do you mean by agri-startups? Discuss the various government support to promote agri startups. Briefly note the action plan for spreading the startup movement in India
See Answer →
Compute the Linear Discriminant projection for the following two-dimensional dataset X1 = (x1, x2) = {(4,2), (2,1), (2,4), (3,5), (4,5)} and X2 = (x1, x2) = {(9, 9), (6, 9), (9, 6), (8, 7), (10, 9)}
See Answer →Consider the two-dimensional patterns (2, 2), (3, 6), (4, 4), (5, 6), (6, 7), (7, 8), (8, 8) and (9, 10). Using the PCA Algorithm, calculate the primary component
See Answer →Write Back Propagation algorithm, and showcase its execution on a neural network of your choice (make suitable assumptions if any)
See Answer →Consider the following set of data points (Year of experience salary). Find the 2nd order polynomial y=?0 + ?1?i + ?2 ?i 2 , and using polynomial regression determine the salary when year of experience is
| Years of Experience (X) | Salary (Y) in Dollar |
| 1 | 50,000 |
| 2 | 55,000 |
| 3 | 65,000 |
| 4 | 80,000 |
| 5 | 110,000 |
| 6 | 150,000 |
| 7 | 200,000 |
See Answer →
Using the following training dataset, apply Naïve Bayes classification algorithm to find the class of an unknown sample X = < Rainy, Cool, High, False >
| S. No | Outlook | Temperature | Humidity | Windy | Play Golf/Class |
| 0 | Rainy | Hot | High | False | No |
| 1 | Rainy | Hot | High | True | No |
| 2 | Overcast | Hot | High | False | Yes |
| 3 | Sunny | Mild | High | False | Yes |
| 4 | Sunny | Cool | Normal | False | Yes |
| 5 | Sunny | Cool | Normal | True | No |
| 6 | Overcast | Cool | Normal | True | Yes |
| 7 | Rainy | Mild | High | False | No |
| 8 | Rainy | Cool | Normal | False | Yes |
| 9 | Sunny | Mild | Normal | False | Yes |
| 10 | Rainy | Mild | Normal | True | Yes |
| 11 | Overcast | Mild | High | True | Yes |
| 12 | Overcast | Hot | Normal | False | Yes |
| 13 | Sunny | Mild | High | True | No |
Explain K-Nearest Neighbour (K-NN) classification algorithm with the help of a suitable example
See Answer →