Related Questions

Which machine learning algorithm is commonly used for sequence prediction tasks like weather forecasting and stock price prediction?
Which machine learning algorithm is commonly used for time series forecasting and trend analysis?
Which machine learning algorithm is suitable for regression tasks, such as predicting house prices based on features?
Statements followed by some conclusions are given below. Statements : 1. Demand and supply determine the prices of goods and services. 2. When there are too many buyers, prices are pushed up and too many sellers push down prices. Conclusions : I. Buyers and sellers determine the prices. II. Price discovery is market driven. Find which of the given conclusions logically follows from the given statements.
Which of the following as per the Competition Act, 2002 refers to any agreement to sell goods on condition that the prices to be charged on the resale by the purchaser shall be the prices stipulated by the seller unless it is clearly stated that prices lower than those prices may be charged?
What is the primary purpose of "forecasting horizon" in time series forecasting?
Which machine learning algorithm is commonly used for unsupervised learning and is used for clustering data points?
Directions : In each of the following questions a statement is given, followed by two conclusions. Give answer :

Statement : The regulatory authority has set up a review committee to find out the reasons for unstable stock prices.

Assumptions :
I. The investors may regain confidence in stock market by this decision.
II. The review committee has the expertise to find out the causes for volatility in the stock market.
A man sells Rs.5000, 12 % stock at 156 and uinvests the proceeds parity in 8 % stock at 90 and 9 % stock at 108. He hereby increases his income by Rs. 70. How much of the proceeds were invested in each stock?
In machine learning, an algorithm (or learning algorithm) is said to be unstable if a small change in training data cause the large change in the learned classifiers. True or False: Bagging of unstable classifiers is a good idea