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Showing posts with the label pandas

Stock Market using Python

 "The stock market is a device for transferring money from the impatient to the patient." - Warren Buffett Today we'll look into few ways for accessing the stock market. And we'll do this using Python ! Now, as we know that there are 2 stock exchange in India; BSE and NSE So we'll get the data from both! To begin with let's access the data from BSE first. (P.S: I certainly like the 2nd and the 3rd method to access stock market!) * So, to import the BSE data we need to " pip install bsedata ". => And then import the module, => Create an object to store the Driver Class => Then we need to do " getQuote('script_code')" where we need to provide a script code of a company which we need to access. Just like here we have given; => And from here we can see that the script code was for the company named "V-MART". But we can't remember all the script code hence we need to download this script file from the BSE websi

Machine Learning model to predict price_of_house

Today let's look at one of the machine learning model which can predict the prices of house based on the described data. We'll look at the linear regression model for which we'll follow a few steps such as: import required modules read the csv file plot the graph building the linear regression model to fit/train the data predict value with a parameter have a new data file for value prediction ( to view the images either open it in a new tab or zoom-in  please! )