churning_analysis

PA003 - Churn Analysis

This project was made by Andre Menezes.

1. Business Problem.

2. Business Assumptions.

3. Solution Strategy

My strategy to solve this challenge was:

Step 01. Data Description:

Step 02. Feature Engineering:

Step 03. Data Filtering:

Step 04. Exploratory Data Analysis:

Step 05. Data Preparation:

Step 06. Feature Selection:

Step 07. Machine Learning Modelling:

Step 08. Hyperparameter Fine Tunning:

Step 09. Convert Model Performance to Business Values:

Step 10. Deploy Modelo to Production:

4. Top 3 Data Insights

Hypothesis 01:

True/False.

Hypothesis 02:

True/False.

Hypothesis 03:

True/False.

5. Machine Learning Model Applied

6. Machine Learning Modelo Performance

7. Business Results

8. Conclusions

9. Lessons Learned

10. Next Steps to Improve

LICENSE

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