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Optimization-of-Call-Center-Agent-Targets
Optimization-of-Call-Center-Agent-Targets PublicThe purpose of this problem is to find the ideal targets and its weightings of a call center agent's scorecard. Scorecards are used to track the agent's performance (such as customer quality, save …
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Spam-Detection-
Spam-Detection- PublicExample of how sklearn's tokenizer works with a classification problem. Grid search and a neural network are used to model this problem
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Insurance-Analysis
Insurance-Analysis PublicExample of how sklearn regression models are used: uses Numpy, Pandas, Sklearn (StandardScaler, train_test_split, RidgeCV,), XGBooster
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Sklearn-Pipelines-Template
Sklearn-Pipelines-Template PublicUses column transformer pipeline to one hot encoder the categorical data and standardize the numerical. Also use recursive feature elimination to find the number of variables to keep in the regress…
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Time-Series-Analysis
Time-Series-Analysis PublicUsing statsmodel to build an ARIMA model.
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