Patrick-David / Insurance-Data-Analysis
Insurance Data Notebook
☆14Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for Insurance-Data-Analysis
- Public Repo of my machine learning project to predict home prices☆11Updated 4 years ago
- Data Mining project 2020/2021 @ University of Pisa☆12Updated 3 years ago
- Classification of reserve risk with chain-ladder☆11Updated 5 years ago
- Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in l…☆12Updated 6 years ago
- TensorFlow materials☆13Updated 3 years ago
- Predicting if a employee is going to leave☆9Updated 6 years ago
- ☆17Updated 3 years ago
- Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Bin…☆10Updated 6 years ago
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated last year
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆45Updated 6 years ago
- Analyzing and calculating key marketing metrics with SQL and Python☆14Updated 5 years ago
- Using Python and Flourish to visualize rank and revenue trends of the world’s largest companies☆13Updated 7 months ago
- Why are our best and most experienced employees leaving prematurely?☆12Updated 7 years ago
- ☆13Updated 5 years ago
- ☆26Updated 5 years ago
- Code repo for Packt course I developed, "Beginning Data Wrangling with Python"☆28Updated 4 years ago
- funnel analysis data challenge☆14Updated 6 years ago
- Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer C…☆10Updated 4 years ago
- Machine Learning based model to predict Insurance Pure Premium☆12Updated 7 years ago
- ☆12Updated last year
- Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling☆30Updated 5 years ago
- A python framework for risk scoring☆32Updated last month
- Classifying documents into categories☆18Updated 6 years ago
- Towards Explainability of Machine Learning Models in Insurance Pricing☆28Updated 4 years ago
- Scalable Data Analysis in Python with Dask, by Packt publishing☆11Updated 3 years ago
- Few tutorials on pandas, matplotlib and seaborn☆26Updated 8 years ago
- ☆13Updated 2 years ago
- Small example on how you can detect multicollinearity☆13Updated 3 years ago
- ☆9Updated 4 years ago
- Predict customer churn with text and interpretability.☆12Updated 3 years ago