GitHub - artystkaProgramistka/Customer_Churn_Prediction: Machine Learning Project done for the university subject. The main goal of the project is to predict customer churn for subscription based services.

artystkaProgramistka / Customer_Churn_Prediction Public

Machine Learning Project done for the university subject. The main goal of the project is to predict customer churn for subscription based services.

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Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
PUM/.idea		PUM/.idea
__pycache__		__pycache__
Dockerfile		Dockerfile
Struktura Projektu Końcowego.pdf		Struktura Projektu Końcowego.pdf
all_confusion_matrices.png		all_confusion_matrices.png
box_plots.png		box_plots.png
build_docker.sh		build_docker.sh
correlation_matrix.png		correlation_matrix.png
customer_churn.csv		customer_churn.csv
customer_churn_distinct_without_outliers.csv		customer_churn_distinct_without_outliers.csv
customer_churn_undersampled.csv		customer_churn_undersampled.csv
data_checks.py		data_checks.py
data_checks_conclusions.txt		data_checks_conclusions.txt
data_types.csv		data_types.csv
descriptive_stats.csv		descriptive_stats.csv
duplicates.csv		duplicates.csv
extreme_outliers.csv		extreme_outliers.csv
get_statistics.py		get_statistics.py
histograms.png		histograms.png
initial_data_checks_report.txt		initial_data_checks_report.txt
mild_outliers.csv		mild_outliers.csv
model_accuracies.png		model_accuracies.png
outliers.csv		outliers.csv
pca_explained_variance.png		pca_explained_variance.png
read_and_preprocess_data.py		read_and_preprocess_data.py
requirements.txt		requirements.txt
run_docker.sh		run_docker.sh
simple_models.py		simple_models.py
start.txt		start.txt
undersampling.py		undersampling.py