Small tasks of Data Science

Projects

• Project 0. Guess the number using a random number generator
• Project 1. Guess the number using the binary search method
• Project 2. Analysis of the outflow of bank customers
• Project 3. Connecting two excel databases. A simple task.
• Projact 4. Checking data for normality and correlation, plus sample comparison test.
• Project 5. Analysis of A/B testing results.
• Project 6. Practice. The classification task is based on the example of predicting the outflow of bank customers.
• Project 7. Practice. Methods for selecting important features for use in predictive ML models
• Project 8. Practice. The task of predicting the biological response (binary classification problem).
• Project 9. Practice. Linear regression using the least squares method. Polynomial regression and regularization.
• Project 10. Practice. Linear regression using the least squares method. Polynomial regression and regularization.
• Project 11. Practice. Classification. A naive Bayesian classifier for a classification problem.