These real-time projects will help you learn new skills, and demonstrate your data science excellence

Data science is the science and art of extracting insights and value from data using various methods, tools, and techniques. Data science combines aspects of mathematics, statistics, computer science, domain knowledge, and communication skills to solve complex problems and create innovative solutions. Data science has applications in various sectors and industries, such as healthcare, education, finance, retail, entertainment, etc.

Fake news detection: Fake news is false or misleading information that is spread through online platforms, such as social media or websites, to influence public opinion or achieve a certain agenda. Fake news can have serious consequences for individuals and society, such as eroding trust, spreading misinformation, inciting violence, or affecting elections. Therefore, detecting and preventing fake news is a crucial task for data scientists.

Sentiment analysis: Sentiment analysis is the process of identifying and extracting the emotions or opinions expressed in text or speech data. Sentiment analysis can help businesses understand their customers' feedback, preferences, satisfaction, or dissatisfaction with their products or services. It can also help individuals analyze their own or others' feelings or moods based on their online posts or messages.

Road lane line detection: Road Lane line detection is the task of identifying and marking the lane boundaries on a road image or video. Road lane line detection is an essential component of autonomous driving systems, as it helps the vehicle navigate safely and efficiently on the road. It can also help drivers improve their driving performance and avoid accidents.

Chatbots: Chatbots are software applications that can interact with human users through natural language input and output. Chatbots can provide various services or functions for users, such as answering questions, providing information, booking appointments, making recommendations, etc. Chatbots can be used in various domains and industries, such as e-commerce, education, healthcare, entertainment, etc.

Driver drowsiness detection: Driver drowsiness detection is the task of monitoring and alerting drivers when they show signs of fatigue or sleepiness while driving. Driver drowsiness detection can help prevent road accidents and save lives.

Gender and age detection: Gender and age detection is the task of identifying and estimating the gender and age of a person from an image or video. Gender and age detection can have various applications, such as face recognition, biometric authentication, demographic analysis, marketing, etc.

Handwritten digit recognition: Handwritten digit recognition is the task of recognizing and classifying handwritten digits from images. Handwritten digit recognition is one of the classic problems in computer vision and machine learning, and it can be used for various purposes, such as postal code recognition, bank check verification, document analysis, etc.

Credit card fraud detection: Credit card fraud detection is the task of identifying and preventing fraudulent transactions made using credit cards. Credit card fraud is a serious problem that causes huge losses for both cardholders and issuers. Therefore, detecting and preventing credit card fraud is a crucial task for data scientists.

Movie recommendation system: The movie recommendation system is the task of recommending movies to users based on their preferences, ratings, or behavior. Movie recommendation systems can help users discover new movies that they might like or enjoy and also help movie providers increase their revenue and customer satisfaction.

Stock price prediction: Stock price prediction is the task of forecasting the future price movements of stocks based on historical data and other factors. Stock price prediction can help investors make better decisions and optimize their returns.