https://github.com/vlada-pv/eda-regression-marketingdata
Engineering a regression model to predict clients' annual income, evaluating feature distributions, testing hypotheses, and assessing the model using the OLS method.
https://github.com/vlada-pv/eda-regression-marketingdata
eda ols prediction-model regression-analysis regression-models statistics
Last synced: over 1 year ago
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Engineering a regression model to predict clients' annual income, evaluating feature distributions, testing hypotheses, and assessing the model using the OLS method.
- Host: GitHub
- URL: https://github.com/vlada-pv/eda-regression-marketingdata
- Owner: vlada-pv
- Created: 2024-04-02T12:06:00.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-02T12:27:47.000Z (over 2 years ago)
- Last Synced: 2025-01-22T11:30:45.610Z (over 1 year ago)
- Topics: eda, ols, prediction-model, regression-analysis, regression-models, statistics
- Language: Jupyter Notebook
- Homepage:
- Size: 3.96 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# EDA-Regression-MarketingData
Engineering a regression model to predict clients' annual income, evaluating feature distributions, testing hypotheses, and assessing the model using the OLS method.
## Structure
* EDA_Regression: exploratory data analysis, statistical and regression analysis, visualization and conclusions based on data
* marketing_data: data for which the analysis was carried out
## Data
Dataset [Marketing Analytics](https://www.kaggle.com/datasets/jackdaoud/marketing-data/data?select=ifood_df.csv) is a set of data on marketing activities and performance in product promotion. The dataset contains information about various attributes related to marketing campaigns and clients. **The annual income of the client** was selected as the **target variable** for predicting the model.