We are developing a data analysis tool for OpenCart. It will be released soon, any one interested to see a demo, please contact us. It will be a great tool for your business analysis and planning.
We are developing a data analysis tool for WooCommerce. It will be releasing by the end of November 2019. Any one interested to see a demo, please contact us. It will have sales prediction, customer analysis, market analysis etc.
If you are getting the below error, Traceback (most recent call last): File “regression.py”, line 14, in from sklearn.cross_validation import train_test_split ModuleNotFoundError: No module named ‘sklearn.cross_validation’ Don’t worry, you can fix it very easily. You might have imported train_test_split as shown below Replace that with That will fix it 🙂
Let’s discuss steps to predict salary using regression here. The regression model used is multi linear regression. Assume that, a company’s salary for it’s programmers is as shown below Total, Lead, Manager, Certifications, Salary 1,0,0,0,20000 1.5,0,0,0,23000 2,0,0,0,25000 2,0,0,1,30000 2.5,0,0,0,27000 3,0,0,2,30000 3.5,1,0,0,33000 3.5,1,0,1,35000 3.5,1,0,2,40000 4,1,0,0,35000 4,2,0,0,40000 4,2,0,2,43000 So in the table, there are some independent variables […]
regression.py It’s the core file, that read a csv file. And we are doing simple linear regression on data read from the csv file. api.py This file can be called from any other application to get real and predicted value for a comparison. We already developed a sample web application, that use Vue.js to display […]
Have you ever got the below warnings? FutureWarning: The handling of integer data will change in version 0.22. Currently, the categories are determined based on the range [0, max(values)], while in the future they will be determined based on the unique values. If you want the future behaviour and silence this warning, you can specify […]
We are developing an opensource HR Data Science tool (HR DataScientist) with data prediction in it. We are working hard to release first version of it by May 2019. Please stay tuned.
If you get the below error while predicting missing values, You should use SimpleImputer instead of Imputer. DeprecationWarning: Class Imputer is deprecated; Imputer was deprecated in version 0.20 and will be removed in 0.22. Import impute.SimpleImputer from sklearn instead. warnings.warn(msg, category=DeprecationWarning) A sample code that show how to use SimpleImputer is given below.