Top data science projectsCheck out these top data science projects that will help you solve real-life problems taking place in business.

Data science is the field that is emerging to be the best program attracting a lot of young minds. It is not only about theoretical knowledge, but it is more about the practical part too. The practical data science projects help in gaining a grip over real-life problems that exist in the market. There remains a core set of data science from scratch skills that are foundational for all general practitioners and specialists, who want to be employable with full-stack capabilities. On that note, this article discusses the top data science projects that will help you solve real market problems for 2022. 

Customer Segmentation

This is one of the most popular data science projects every student should try. Before running any campaign companies create different groups of customers. Customer segmentation is a popular application of unsupervised learning. Using clustering, companies identify segments of customers to target the potential user base.

Credit Card Fraud Detection Project

Decision trees, logistic regression, artificial neural networks, and gradient boosting classifiers are among the methods utilized in this one of the best data science projects. The card transactions dataset will be used to distinguish between fraudulent and legitimate credit card transactions.

Fake News Detection

In the list of the top 10 data science projects for the final year students, next is fake news detection. In this tech-driven world, every individual is aware of what fake news exactly is. Sharing fake news over the internet has become one snap thing. You all must have seen misleading information being spread over the internet from unauthorized sources. Such information makes you face issues but, in some circumstances, it has the great potential to cause a huge level of panic and violence. You can create a data science project to stop this spread by choosing Python and developing a model with Passive Aggressive Classifier and Tfid Vectorizer to divide the real news from the fake one.

Chatbots

Due to their skillful handling of a profusion of customer queries and messages without any issue, Chatbots play a significant role for industries. They are designed to lessen the customer service workload by automating the hefty part of the process. Nonetheless, chatbots execute this by utilizing their promising methods supported by the technologies like machine learning, artificial intelligence, and data science. Therefore, creating a chatbot for your final data science project will be a great idea.

Recommendation System

In this data science project, you have to utilize R to perform recommendations through technologies like Machine Learning and Artificial Intelligence. A recommendation system sends out suggestions to users through a filtering process based on other users’ preferences and browsing history. If A and B like Home Alone and B likes Mean Girls, it can be suggested to A – they might like it too. This keeps customers engaged with the platform.

Color Detection with Python

Among the data science projects ideas, this is one of them. Based on the varied RGB color values, there may be 16 million hues, but we only recall a handful. As a result, you may create an interactive app that will identify the selected color from any image in this project. To do so, you’ll need labeled data for all of the known colors, and then you’ll be able to figure out which color most closely resembles the specified color value.

Project to Recognize Handwritten Digits

Data scientists and machine learning aficionados are familiar with the MNIST collection of handwritten digits. It’s a fantastic project for learning about data science and the processes involved in a project. The project will be developed using convolutional neural networks, and then a pleasant graphical user interface will be constructed to draw digits on a canvas, and the model will predict the digit in real-time.