A trading strategy using optimal algorithms for k-Search
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Updated
Dec 11, 2021 - Python
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optimal-k-search
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This project uses K-Nearest Neighbors (KNN) to classify customers of a telecommunication company into four groups based on features such as region, tenure, age, and marital status. It includes Exploratory Data Analysis (EDA) with visualizations and evaluates model performance to find the best value of k.
python
sklearn
exploratory-data-analysis
pandas
data-visualization
seaborn
classification
matplotlib
knn
customer-segmentation
optimal-k-search
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Updated
Jun 25, 2024 - Jupyter Notebook
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