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Data Science Projects

Definition of Data Science can be the study of data, the source of the data, and the type of data, the techniques for separating the valuable data from big data, which is helpful for Organizations for different purposes.

Data Science is trending among all tech and non-tech companies nowadays since it involves analyzing the company data for different purposes like analyzing the customer base in upcoming times and the analysis of customers’ sentiments to the company products. 

Data Science is the extraction of useful and meaningful data from raw data. Analysis of this raw data is done in data science to separate useful data from useless data. This data can be any data set like customer’s data, big data which is stored in company’s databases, etc. The data is widely available on the internet. Many businesses and organizations are using this data to analyze customers’ behavior and more. 

Data Science can be a good career choice for you if you wish to grow with the technology which is trending around the world. For making a career in data science, you should go for PG courses in Data Science provided by Top Universities; for that purpose, you should have a bachelor’s degree in IT or Computer Science, mathematics, statistics, or any other related field. 

Applications of Data Science :- Data Science is widely used and has many applications in real life. Let us have a look at the list below of some useful Data Science Applications.

1. In IT firms 

2. Healthcare

3. Security 

4. Fraud Risk Detection

5. Image/Speech Recognition

6. Artificial Intelligence

7. Machine Learning

8. Augmented Reality

9. Target Advertising

10. Gaming

The best data science projects that you should do are as follows:

1. Fake News Detection: This data science project can be the right choice in the present time because as technology is growing day by day, fake news is also increasing, and the spread of fake news is so fast among people. It is really needed nowadays to detect if any news is fake or real. 

2. Emotion Detection: Emotion can also be detected by the application of machine learning in data science. We can make our machine learn to detect different emotions by giving a set of data related to emotions. In Emotion Detection, it should work for both emotion detection by visual and audio of the person. It is very useful as most people are going through depression and nobody understands what’s the main issue with the person. With Emotion Detection, we can detect the emotions of the person already and start making them stress-free. Doctors also use the application of Emotion Detection during the treatment of their patients. This is really helpful in the medical industry.

3. Customer Segmentation: This project will segment the different types of customers into categories known as Customer Segmentation. By using this approach, we can make groups of different customers according to their reviews about the products of the organization and their activities on the product page. It will help the organization grow its customer base and increase the value of the customers to the company.

4. Credit Card Fraud Detection: With growing technology, online fraud is becoming very common nowadays and very dangerous as well. It really needs to be stopped. So, this data science project will help you identify the fake credit card details entered by any user for any purchase or any payment and can save the company from fraud. 

5. Face Recognition: In this project, you will provide a data set of images to the machine and provide the algorithm for learning those data set. After that, when you run the application for face detection, it will try to match the person’s face in the camera with the images provided in the data set. The matching of the faces can be one-to-one or one-to-many in the real application of this project.

6. Handwriting Digit/Alphabet Detection: This is an interesting project to get started with data science. As we see, whenever we write something using a pen on our smartphones, it automatically detects what we are writing. It is just because of the data science application. In this project, a Convolutional Neural Network is created, and the project is implemented in real-time because the application of this project will be in real-time.

7. Driver Drowsiness Detection: Driver drowsiness is very risky and harmful. According to a report, driver drowsiness is the biggest reason for road accidents. Data Science can be very helpful in this scenario. In this project, OpenCV with Keras is used to detect the driver’s eye and face. Whenever the driver feels sleepy or drowsy, then the alarm will beep to keep him awake. This concept is really helpful for reducing the number of road accidents.