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naive-predictor

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gouravaich / finding-donors-for-charity

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Apply supervised machine learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause

machine-learning udacity machine-learning-algorithms feature-selection supervised-learning ensemble adaboost grid-search udacity-nanodegree boosting decision-tree-algorithm udacity-machine-learning-nanodegree feature-importance model-tuning finding-donors gaussian-naive-bayes-implementation precision-recall naive-predictor
  • Updated Jul 26, 2018
  • Jupyter Notebook

lovpatel93 / Udacity-Finding_Donors_for_Charity_ML

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Udacity Data Scientist Nanodegree Project - Employ supervised algorithms to accurately model individuals income

data-visualization feature-selection confusion-matrix adaboost data-exploration evaluation-metrics svm-classifier normalization supervised-learning-algorithms feature-importance model-tuning gridsearchcv ensemble-models log-transformation naive-predictor decison-trees svc-svm
  • Updated Feb 21, 2019
  • Jupyter Notebook
Finding-Donors-for-Charity-using-Machine-Learning

sushantdhumak / Finding-Donors-for-Charity-using-Machine-Learning

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Machine Learning Nano-degree Project : To help a charity organization identify people most likely to donate to their cause

feature-selection supervised-learning accuracy confusion-matrix data-preprocessing data-normalization tuning-parameters gradient-boosting f1-score feature-importance gridsearchcv finding-donors naive-predictor skewed-data min-max-scaler fbeta-score
  • Updated Oct 19, 2019
  • Jupyter Notebook

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