Classification means categorizing something from a group based on some features. For example, spam detection is one of the most popular tasks of classification in the machine learning community, here we need to classify emails as spam or not spam. There are so many algorithms for classification in machine learning but as a beginner, you don’t know what type of real-world problems you can solve with those algorithms. One of the best ways is to work on projects based on classification, so in this article, I will take you through some of the best Real-World Machine learning projects on classification solved and explained using Python.
Real-World Machine Learning Projects on Classification
Mobile Price Classification:
The price of a product is the most important attribute of marketing that product. One of those products where price matters a lot is a smartphone because it comes with a lot of features so that a company thinks a lot about how to price this mobile which can justify the features and also cover the marketing and manufacturing costs of the mobile.
As thousands of mobiles are sold daily, in such a situation it is a very difficult task for someone who is planning to set up their own mobile phone business to decide what the price of the mobile should be. In this project, you will learn how to classify the prices of smartphones based on the features that they provide. You can get this machine learning project solved and explained using Python from here.
Text Emotions Detection:
A human can express his emotions in any form, such as face, gestures, speech and text. The detection of text emotions is a content-based classification problem which is the task of natural language processing. Detecting a person’s emotions is a difficult task, but detecting the emotions using text written by a person is even more difficult as a human can express his emotions in any form.
Usually, emotions are expressed as joy, sadness, anger, surprise, hate, fear, etc. Recognizing this type of emotion from a text written by a person plays an important role in applications such as chatbots, customer support forum, customer reviews etc. In this real-world classification project, you will learn to detect the emotions of a text entered by a person. You can get this machine learning project solved and explained using Python from here.
Summary
So these two projects are based on real-world classification problems where machine learning algorithms can be used. Both the projects mentioned above are solved and explained using Python. I hope you liked this article on Real-World Machine Learning Projects on Classification. Feel free to ask your valuable questions in the comments section below.
