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Top 5 Python Mini-Projects For Data Science Beginners
Introduction:
Data scientists use Python to deal with a lot of data daily. Numerous students are drawn to the study of data science and, in the same vein, work on numerous small projects based on data science in Python and R. With the aid of the field of data science; we can extract knowledge and information from various types of structured or unstructured data.
Data Science Mini Projects:
Real-time audio analysis:
Using the Fast Fourier Transform tool, you can perform real-time audio analysis in this simple Python data science project. This skill is crucial for a data scientist to have.
Color Detector:
In this data science project, you will learn how to use a colour detector to identify every shade of colour in an image or video, whether in colour or black or white. This can be very helpful for both business and government investigations!
Banking fraud detection:
In this Python data science project, you will learn to use concepts like decision trees, neural networks, and logistic regression to identify credit card fraud.
Real-time image animation:
Data science and computer vision are both used in this situation. In this data science project, you will learn how to deal with an image's expression based on the camera's position. And PyTorch and OpenCV will assist you in this undertaking.
Software for business advisors using exploratory data analysis:
This is one of the fascinating data science projects. The software analyses the data automatically, poses some queries and then presents some information and solutions in the form of visual graphs and other charts.
Conclusion:
The field of data science is well into its formative stages of development; it is becoming a self-sustaining discipline and producing professionals with unique and complementary skills compared to those in the computer, information, and statistical sciences.
Are you considering pursuing a career in data science? Learnbay offers the best data science course in Puneand involves students in real-world projects created by professionals in the industry.

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