🔟 Python Data Science Project Ideas for Beginners

1. Exploratory Data Analysis (EDA): Use libraries like Pandas and Matplotlib to analyze a dataset (e.g., from Kaggle). Perform data cleaning, visualization, and summary statistics.

2. Titanic Survival Prediction: Build a logistic regression model using the Titanic dataset to predict survival. Learn data preprocessing with Pandas and model evaluation with Scikit-learn.

3. Movie Recommendation System: Implement a recommendation system using collaborative filtering with the Surprise library or matrix factorization techniques.

4. Stock Price Predictor: Use libraries like NumPy and Scikit-learn to analyze historical stock prices and create a linear regression model for predictions.

5. Sentiment Analysis: Analyze Twitter data using Tweepy to collect tweets and apply NLP techniques with NLTK or SpaCy to classify sentiments as positive, negative, or neutral.

6. Image Classification with CNNs: Use TensorFlow or Keras to build a CNN that classifies images from datasets like CIFAR-10 or MNIST.

7. Customer Segmentation: Utilize the K-means clustering algorithm from Scikit-learn to segment customers based on purchasing patterns.

8. Web Scraping with BeautifulSoup: Create a web scraper to collect data from websites and analyze it with Pandas. Focus on cleaning and organizing the scraped data.

9. House Price Prediction: Build a regression model using Scikit-learn to predict house prices based on features like size, location, and number of bedrooms.

10. Interactive Data Visualization: Use Plotly or Streamlit to create an interactive dashboard that visualizes your EDA results or any other dataset insights.

Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624

Credits: https://t.me/datasciencefun

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