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  1. Exploring-and-Visualizing-Simple-Dataset Exploring-and-Visualizing-Simple-Dataset Public

    🔴 Exploratory Data Analysis (EDA) 🔴 This project applies data cleaning, preprocessing, and visualization to explore dataset patterns and relationships. Using Pandas, Matplotlib, and Seaborn, I perf…

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    🔴 Credit Risk Prediction (Loan Applicants) 🔴 In this project, I analyzed loan applicant data to predict default risk. I cleaned and prepared the dataset, encoded categorical features, and trained c…

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  3. Bank-Customer-Churn-Modeling Bank-Customer-Churn-Modeling Public

    🔴 Customer Churn Prediction (Bank Customers) 🔴 Predicting which bank customers are likely to leave using the Churn Modelling Dataset. Data cleaned, categorical features encoded, and multiple ML mod…

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  4. Term-Deposit-Prediction- Term-Deposit-Prediction- Public

    This project applies machine learning techniques to predict term deposit subscriptions using bank marketing data. It covers data preprocessing, exploratory data analysis, model training, and evalua…

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  5. Customer-Segmentation-Using-Unsupervised-Learning Customer-Segmentation-Using-Unsupervised-Learning Public

    Customer segmentation of the Mall Customers dataset using K-Means clustering, enhanced with PCA and t-SNE visualizations, providing actionable insights and data-driven marketing strategies for each…

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  6. Interactive-Business-Dashboard-in-Streamlit Interactive-Business-Dashboard-in-Streamlit Public

    This project focuses on analyzing business sales data to extract meaningful insights and support decision-making. It includes data cleaning, exploratory data analysis, customer and category-wise sa…

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