TOP 10 BEGINNER-FRIENDLY MINI DATA SCIENCE PROJECTSPosted by mallik on July 8th, 2022 . Apply your data science knowledge to engaging project concepts and resolve real-world data science issues with the help of these basic data science projects. The topic of this essay is one such technological advancement that has made life simpler for those who deal with a lot of data regularly.
In this project, you will use data science and a sentiment analyzer to examine remarks made on numerous websites, social media accounts, documents, publications, etc., and determine the type of opinion that was expressed.
Resume parsers leverage machine learning (ML) technology to look through hundreds of resumes and choose the best applicant for a job interview. You will create an NLP algorithm for this project that analyses a resume. Bonus: In this project, you'll use an API or another external tool to collect data. You will need to obtain the data with these external technologies since most businesses that depend on third-party data purchase API access.
Real and fake news are distinguished in this research properly using R Language's dataset, together with an accurate representation of the textual data. Later, we might include NLP concepts.
In this project, you'll learn how to use data science to identify credit card fraud using ideas like decision trees, neural networks, and logistic regression.
In this assignment, you will pre-process and extract pertinent features from the reviews and rating dataset using an NLP technique. Apply the pairwise ranking method using semi-supervised learning to rank reviews and further divide them for sentiment analysis.
This is a project that will advance your analyst skill set. Analysts and data scientists are constantly seeking to influence elements. They always ask questions and continuously try to establish links between different variables.
This is made possible by the driver drowsiness project's real-time implementation, which calls for a webcam and a few Python computer language libraries. A scheme like this can both guarantee 24-hour public safety and help to slow the rise in traffic accidents.
This is made possible by the driver drowsiness project's real-time implementation, which calls for a webcam and a few Python computer language libraries. A scheme like this can both guarantee 24-hour public safety and help to slow the rise in traffic accidents.
With data science, AI, and computer vision, you will extract text from platforms where it is impossible to cut, copy, or paste text in this project. Wondering where to learn data science skills and leverage them in your projects? Enroll in an IBM-certified data science course in Chennai and get hands-on experience working on real-world projects. https://www.learnbay.co/data-science-course/data-science-courses-in-chennai/ Like it? Share it! More by this author |