Accuracy in StockPricePrediction

#1

I can’t get more than 56 percent score in this problem.

#2

my issue is still not resolved.

#3

Hey @J20DSPP0003,

Can you explain the process you have done in the challenge?

#4

sir, I just took X and y values from the data set and did a linear regression. there were no nan aur string values in the dataset so I did nothing and used sklearn library and did linear regression.

#5

.sir, I just took X and y values from the data set and did a linear regression. there were no nan aur string values in the dataset so I did nothing and used sklearn library and did linear regression

#6

Hey @J20DSPP0003,

I will give you a headsup with the challenge. Stock price prediction is a time series analysis. Do you think linear regression can work well with a time series data? Remember, in linear regression we assume all the X points to be independant of each other. But in stock price, do you think this is the case?

Hint: Autocorrelation, Trend, Seasonality.

Search for these words and you will get your answer as to why you are not getting much accuracy with a linear regression model.

#7

I got the problem, but I think an LSTM model can do a good prediction, will it?