10 Data Science Project Ideas To Try From Beginner to Advanced

1. Exploratory Data Analysis (EDA): Analyze and visualize data to uncover patterns.

2. Sentiment Analysis: Classify opinions in text data as positive, negative, or neutral.

3. Predictive Analytics: Build models to forecast trends or outcomes based on historical data.

4. Image Recognition: Develop algorithms to classify and interpret images.

5. Natural Language Processing (NLP): Analyze and generate text using machine learning techniques.

6. Recommendation Systems: Create algorithms to suggest items based on user preferences.

7. Time Series Analysis: Predict future values based on past trends in time-stamped data.

8. Anomaly Detection: Identify unusual patterns in data that do not conform to expected behavior.

9. Clustering: Group similar data points together to find underlying patterns.

10. Deep Learning Projects: Implement neural networks for tasks like image or speech recognition.

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