First you need to have data, so download your data from any online CSV Data providing website. I will list some for you at the end of this post (Our first ML model will be linear regression so download linear data). Oh What is Linear Data now. Linear data structures are in which all the data are arranged in sequence manner.for example:linked list,stack queue. Let me show you a pictorial example.
In a Linear Data a line can be drawn drawn through pictorial representation of data and that line passes close to or on those data points. This line is called the line of best fit.
So now to import data in Jupiter Notebook open Jupiter Notebook and click on NEW and select Python 3 from the drop down box. Now in the Python cell type following commands.
Here I am loading a CSV(comma separated values) file from my desktop. Here I am assigning my data name as ” Data_Frame” and the pandas command to load data is “pd.read_csv” . In the the double quotation(remember you can also use single quotation instead to double) is my path where the data is stored on my computer. Here “r” is used to treat the data as raw data.
Now data has been successfully loaded into our working cell. Remember this is not the only way of loading csv data but this is the most preferred way.
In the next blog I will be teaching you how to know your data what are features and labels and how can you decide what are your features and lables
LINK’S
Link to download data : http:// https://archive.ics.uci.edu/ml/datasets.html?format=&task=reg&att=&area=&numAtt=&numIns=&type=&sort=nameUp&view=table
Link to the data I am using : http:// https://www.kaggle.com/andonians/random-linear-regression
Link to my previous post : https://machinelearningpower.home.blog/2019/03/29/setting-up-environment-for-ml/
For any doubts comment !!
Machine Learning 