17. Case Studies and Real-World Projects

Sections

Navigate through the learning materials and practice exercises.

1. 17

   Case Studies And Real-World Projects

   Learn Practice

   This chapter highlights the practical applications of data science through...

2. 17.1

   Importance Of Real-World Projects

   Learn Practice

   Real-world projects connect academic theories to practical applications,...

3. 17.2

   End-To-End Data Science Workflow

   Learn Practice

   The section outlines the comprehensive workflow for executing real-world...

4. 17.3

   Case Study 1: Customer Churn Prediction In Telecom

   Learn Practice

   This section explores a case study on predicting customer churn in a telecom...

5. 17.4

   Case Study 2: Fraud Detection In Banking

   Learn Practice

   This case study explores the methods used by a bank to detect fraudulent...

6. 17.5

   Case Study 3: Predictive Maintenance In Manufacturing

   Learn Practice

   This section explores how predictive maintenance can enhance efficiency in...

7. 17.6

   Case Study 4: Product Recommendation System

   Learn Practice

   This section explores a case study of a product recommendation system...

8. 17.7

   Case Study 5: Sentiment Analysis For Brand Monitoring

   Learn Practice

   This section explores the application of sentiment analysis for monitoring...

9. 17.8

   Tools And Technologies Used Across Projects

   Learn Practice

   This section lists essential tools and technologies used in data science...

10. 17.9

    Best Practices For Real-World Data Science Projects

    Learn Practice

    This section outlines essential best practices for conducting real-world...