Five data science mini projects that are suitable for CSE students

Data science is one of the most popular and in-demand fields in the world of computer science and engineering (CSE). Data science involves applying various methods, techniques, and tools to collect, process, analyze, and visualize data from various sources and domains. Data science can help solve complex problems, generate insights, and create value for various industries and applications. One of the best ways to learn and practice data science skills is to work on mini projects. In this article, we will present 5 data science mini projects for CSE students that cover different topics and levels of difficulty. These projects are:

1. Movie Recommendation Engine: Utilize Python and machine learning libraries to create a movie recommendation system based on user preferences and movie attributes, fostering skills in data wrangling and machine learning algorithms.

2. Stock Price Prediction: Engage in time series analysis using Python and relevant libraries to predict future stock prices, gaining valuable experience in financial data analysis and model evaluation techniques.

3. Fake News Detection: Develop a classifier in Python using NLP libraries to identify fake news articles, contributing to the fight against misinformation and delving into text classification algorithms.

4. Music Genre Classification: Build a model in Python to classify music genres based on audio features, providing an opportunity to explore audio signal processing and unsupervised learning techniques.

5. Smart Home Energy Optimization: Analyze smart home energy consumption data using Python and data visualization libraries to identify patterns and offer optimization strategies, contributing to sustainability efforts and enhancing skills in energy data analysis.