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1. Build-Ideal-Model-For-Predicting-Loan-Status-Customers Build-Ideal-Model-For-Predicting-Loan-Status-Customers Public

   In this project, I try to Build most ideal model for predicting Loan Status Customers in dataset by Performing Supervised Classification model Machine Learning.

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2. Data-Clustering-K-Means-Clustering- Data-Clustering-K-Means-Clustering- Public

   Clustering airline customer data in China using machine learning clustering K-Means Clustering

   Jupyter Notebook

3. E-commerce-General-Customers-Clustering E-commerce-General-Customers-Clustering Public

   Clustering from general e-commerce customer data in Bandung, Indonesia using unsupervised machine learning.

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4. Python-Data-Cleansing Python-Data-Cleansing Public

   Perform data cleansing from raw csv format datasets into csv format datasets that are ready for further analysis. This data cleansing process uses Python language.

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5. Shipping-Data-EDA Shipping-Data-EDA Public

   Analyze data from e-commerce shipping by performing Statistical Summary, Univariate and Multivariate Analysis.

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6. Video-Games-Sales-Exploratory-Analysis Video-Games-Sales-Exploratory-Analysis Public

   Did exploratory analysis, where the objective is to understand how the data is distributed and generate insight for future decision-making, this analysis aims to explore as much as possible the dat…

   Jupyter Notebook