- Wine Quality prediction:
Given several physicochemical values from a White Wine brand, I develope a data driven model based a logistic regression and support vector machine in order to classify the quality of the product.
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- Car insurance project: A profit and loss analysis
Given a data case with 20 car insurance companies values. I had to explain if they had more ganancies than damages during one year and which effects can be predicted.
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- Customer Retention Analysis(I):
Given a Database I had to find the features which more can help for the retention of clients. Survival analysis with multiple COX REGRESSION
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- Customer Retention Analysis(II):
Given a Database I analyzed how long two different customer groups were using a online service. Survival analysis with simple COX REGRESSION
- Churn: binary variable. Whether the customer left or not the online service
- Tenure: the number of months. The cases are filtered by this variable fom 0 months to 72 months.
- SeniorCitizen: binary category, I decided to rename it as "Subscription". 0 for Subscription Standard and 1 for Subscription Premium
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- Infart disease Studie:
The goal of this project is to predict the presence of heart disease using a logistic regression
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- pandas and numpy overview
Checking out the basics chart on both the most used Python packages