An end-to-end machine learning project means building a machine learning application that takes input at the start and provides a solution at the end based on the user input. In this article, I’m going to introduce you to some of the best end-to-end machine learning projects solved and explained using Python.
End-to-End Machine Learning Projects
If you are looking for a data science job, then you should solve and mention some end-to-end machine learning projects in your resume. If you have some end-to-end machine learning projects mentioned in your resume then it helps you to show most of your data science and programming skills with respect to your domain expertise. So here are some of the best end-to-end machine learning projects solved and explained using Python that will help you show most of your skills:
Sentiment Analysis:
Sentiment analysis means analyzing the sentiment of a text. To present this project as an end-to-end application, I used the streamlit library in Python. If you have never used the streamlit library before, you should start with this project as your first end-to-end machine learning project. You can find this complete project here.
Text Emotions Detection:
Detecting the emotions of a customer review is one of the use cases that every product and service company wants to implement in their online platforms. In this project, I first trained a text emotion detection model to identify the emotion of a text entered by the user in real-time, then I integrated this model into a final application using the streamlit library in Python. You can find this complete project here.
Spam Detection:
A machine learning model that detects whether an SMS or email received is spam or not is also implemented by various platforms in their systems to protect the user to stay away from spam activities. Here I have used the complete process of deploying a machine learning model using HTML, CSS, JavaScript and Python. You can find this complete project here.
Face Mask Detection System:
A while ago, face detection was one of the computer vision tasks that could easily impress your recruiter. But now, this task is not difficult enough to impress your recruiter. If you want to build an end-to-end machine learning project based on computer vision, you can build a face mask detection system. You can find this complete project here.
Summary
So these were some of the best end-to-end machine learning applications that can help you to show most of your data science and programming skills. All the projects mentioned above are solved and explained using the Python programming language. Hope you liked this article on end-to-end machine learning projects using Python. Please feel free to ask your valuable questions in the comments section below.
