Machine Learning or deep learning requires datasets for the creation of predictive models. You can create your own datasets manually or you can use an existing one. There is a package in Python that is datasets that contains different examples of datasets. All these are available for free. But many programmers face error like no module named datasets and does not know how to solve them.
In this entire tutorial, you will know how to solve the no module named datasets easily.
What is ModuleNotFoundError?
ModuleNotFoundError is an error when you are using a specific Python package without installing it in your system. Suppose there is Python package A and if you are importing it in your code then you will get the error modulenotfounderror: no module named ‘A’.
Root Cause for modulenotfounderror: no module named datasets error
The root cause for the no module named datasets error is that you have not properly installed it in your system. And also you are using it without installing it. You will get the red line below the import datasets statement. The python interpreter is telling you that you have not installed it in your system.
Solution of no module named datasets error
But You have to also check the version of Python in your system. You can check the version of Python using the below bash command.
If your version of Python is 3. xx then use the pip3 command otherwise use the pip command. My system Python’s version is 3. xx, therefore I will use the pip3 command.
Open Your terminal and use the below command to install the datasets package in your system.
pip3 install datasets
After the installation, you will not get the red line below the import statement. It clearly states that the package is installed. Now if you run the code then you will not get the error no module named datasets.
Datasets are a must for building machine learning or deep learning predictive models. The datasets package provides the majority of the datasets that are publicly available. But for this, you have to install it. The above methods will solve your error.
I hope you have liked this tutorial. If you have suggestions or queries then you can contact us for more help.
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