exploratory data analysis
Projects with this topic
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Titanic veri seti üzerinde yapmış olduğumuz basit bir veri analizidir.
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Titanic veri seti üzerinde yapmış olduğumuz basit bir veri analizidir.
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Machine Learning - Recommendation System
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Machine Learning - Binary Classification
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Machine Learning - Multiclass Classification
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Machine Learning - Classification Problem
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Machine Learning - Binary Classification
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Exploratory Data Analysis (EDA) on Haberman Dataset. Feature Importance.
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An application for immediate treatment in emergency situations via centrally managed health camps.
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Cette analyse a pour but d’explorer le comportement historique de ventes de livres dans la région de Montréal et dans la région de Québec entre les années 2010 et 2019.
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Data mining & prediction of admission from different grades and parameters. Dataset created for prediction of Graduate Admissions from an Indian perspective.
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Using machine learning methodology to create a model that predicts which passengers survived the Titanic shipwreck under data science analysis flow from explore data analysis to model selection.
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Using the fund data from the web scraping to established the model to predict the net asset value of the fund from the data clean, data pre-processing, model established and model selection.
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Established the binary classification system to predict the client required if the bank product order; for bank marketing, this topic focus on the minority of the people who order the product.
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Materials from guest lecture on using maps in exploratory data analysis for Vanderbilt Data Science program.
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