Data science is a process to help in solving real-life problems. Data Science utilizes the inputs in the form of relevant data information. Currently, artificial intelligence is ruling the market. So, this is the main reason why you should take Data Science seriously.
The companies are using it to retrieved information to predict the future of the products. So, we will suggest you get some Data Science projects to stay ahead.
Top 8 Data Science Projects in 2021
In this section, we are going to find out the top 8 data science project to look out for in 2021:
1. Fake News Detection
Today we are living in the age of technology and super fast communication. The technology is not only spreading the news globally but also spreading fake news. This fake news can do any kind of mischief and disturbs the peace. Therefore, prevention against fake news is really important. This fake news may contain igniting and provoking information.
The target can be a single person, a company, or sometimes a whole country. Therefore, the motive behind fake news is to defame the target. Also, small news can cause massive disturbance of the general interest of people.
Data science projects using Python can detect fake news. You have to build a TfidfVectorizer and use a PassiveAgressiveClassifier to analyze the news is “Real” or “Fake”. Considering today’s world, this is one of the best Data Science projects.
2. Sentiment Analysis
We have already mentioned that Data Science has a big role in the growth of a business. Companies use this technology to test the preference and likeability of the products. Particularly, when a product doesn’t get the desired success, researching on it becomes crucial. They should understand the reason behind failure and the way to make the product better.
Therefore, sentiment analysis aims to analyze the opinion of customers. So, it’s crucial and of course, one of the essential Data Science projects. Companies can take the response in two methods. It can be a binary form like positive or negative. Or it can ranges in options like Excited, Happy, No response, Sad, Angry etc.
Data Science uses the R language to analyze and gather information. The latest dataset of JaneaustenR is also helpful for this project. You can use general-purpose lexicons to analyze sentiment. This includes bing, Lougham, and AFINN.
3. Real-Time Image Detection
This is a project for computer vision. In this, you have to do live image animation by using OpenCV. This is also an open-source project. This technology is useful for the fashion, retail, or advertising industry.
In today’s world, commercial advertising is one of the major pillars of marketing. It can boost the sales of the Company. It also helps the professional models in their profession. You can use GitHub and Colab notebook for this project.
4. Recognizing Human Speech and Emotions
Analyzing human emotion has become another strategy of marketing. It is also important to understand the outcomes of political speech. The Data Science projects that help to under emotions are in high demand.
These projects clarify particular human emotions at a particular point in time. Mainly, Python is the leading language to make these emotional readers. Things like voice tone, changes of pitch, and movement of eyeballs are the deciding factors.
Data scientists also use mfcc, chroma, and mel feature along with the RAVDESS dataset. This helps us to build an MLPClassifier for this kind of model. An example of this is Speech Emotion Recognition with Librosa.
5. OLA Data Analysis
All of you must have heard about OLA, the cab service. Online booking cab service has become an integral part of our daily life. Here you can book your car service from your location. You will get the pickup from your location to your desired location. It is also serving millions of travelers from different cities across the globe.
The data visualization project with ggplot2 is perfect for this job. Data scientists combine this with R language to make OLA data analysis. R language helps to analyze the parameters of OLA service. This also includes trip time, total trips, and the number of trips in a day.
Also, it can calculate trips of s taxi in a month, quarter, half-yearly and yearly basis. Due to its importance and demand, we have kept this in top Data Science projects.
6. Credit Card Fraud Detection
Online shopping is an essential part of our daily life. With this, the importance and use of credit cards have also been raised. Almost every person is carrying one or several credit cards. They use these in multiple tasks like buying or paying bills.
These activities are encouraging the chances of credit card fraud. The use of credit cards is easy, and fraudulence is even easier. Therefore, Data Science projects to detect credit card fraud are highly useful.
These programs track the transactions and classify them into genuine and fraudulent. Also, they add some different models to improve the performance curve.
7. Movie Recommendation
Movie recommendation is performed by AI based on inputs from the viewers. AI takes their response to classify the movie as boring, funny, exciting, or interesting. Also, the box office performance of the first few days plays a role to get an idea.
You can use the R language to make Data Science projects to recommend movies. These projects will send suggestions to the users by the filtering process. Also, browsing history information is a factor that reveals attention.
8. Customer Suggestion
This is perfect for businesses as they always look for a method to segment the customers. Analyzing the expectations of customers before releasing the product helps to grow the Company.
These programs can classify customers based on age, gender, religion, interest, habits etc. You can use K-means clustering along with R language for this purpose.
We have included the best Data Science projects that give you a clear edge in your progress. All of these projects have high demands and fields of application. You can choose one or more than one as per your preference.