Project ideas of Data Science for college students

*Data Analysis and Visualization Projects*

- *Zomato Data Analysis*: Analyze restaurant ratings, reviews, and cuisines using Python and visualize insights using Matplotlib or Seaborn.

- *IPL Data Analysis*: Explore player performance, team statistics, and match outcomes using data visualization techniques.

- *Global Covid-19 Data Analysis*: Visualize the pandemic's impact on countries worldwide, analyzing cases, deaths, and vaccination rates.

*Machine Learning Projects*

- *Wine Quality Prediction*: Develop a model to predict wine quality based on chemical properties using Scikit-learn and regression techniques.

- *Disease Prediction*: Create a system to predict diseases like breast cancer or diabetes using machine learning algorithms and datasets from Kaggle or UCI Machine Learning Repository.

- *Loan Approval Prediction*: Build a model to predict loan approval based on applicant data, using decision trees or logistic regression.

*Natural Language Processing (NLP) Projects*

- *Sentiment Analysis*: Analyze text data from social media or product reviews to determine sentiment using NLTK, Spacy, or TextBlob.

- *Fake News Detection*: Develop a model to detect fake news articles using machine learning and NLP techniques.

- *Chatbot Development*: Create a conversational AI using recurrent neural networks (RNNs) or transformers.

*Computer Vision Projects*

- *Driver Drowsiness Detection*: Develop a system to detect driver fatigue using OpenCV and deep learning models.

- *Image Classification*: Classify images into categories like animals, vehicles, or buildings using convolutional neural networks (CNNs).

- *Object Detection*: Detect objects in images or videos using techniques like YOLO (You Only Look Once).

*Other Projects*

- *Recommendation Systems*: Build a system to recommend movies, products, or music based on user preferences and behavior.

- *Time Series Forecasting*: Predict stock prices, weather, or traffic patterns using time series analysis and forecasting techniques.

- *Customer Segmentation*: Segment customers based on demographics, behavior, or preferences using clustering algorithms ¹ ².