As you might know, Machine Learning feeds on data, and without it, no model could be ever created. And not only getting data will solve the problem. You need to have accurate data from a legit source. There are several sources from which you could get the required datasets for creating Machine Learning projects. And these are:
Kaggle Datasets, Datasets via AWS, Google’s Dataset Search Engine, Microsoft Datasets, UCI Machine Learning Repository, and many more sources, from where you could extract huge datasets, which you could use to train an ML model or for a project, and increase its accuracy. If you wish to master Machine Learning, then check out the Machine Learning online course from Intellipaat, which offers you dedicated instructor-led courses and projects that will help you in building practical skills. Also, watch the following video on Machine Learning with Python to get started.
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