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spectre's user avatar
spectre
  • Member for 4 years, 5 months
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  • India
1 vote

Are there ML Libs in Python robust to missing data?

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Test Binary Classifier on a Test-set that includes only one class

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Where do I start? I have a massive dataset (from web scraping) and want to predict y from 20 variables

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Automated Hyperparameter tuning

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What do "Under fitting" and "Over fitting" really mean? They have never been clearly defined

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Multiple Linear Regression for House Price Prediction score is 0.28

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How to reduce RMS error value in regression analysis & predictions - feature engineering, model selection

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Which ML algorithm is best works on text data and the reason behind it? Also, which metrics is used for testing performance of model?

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How to create classification decision trees on a dataset that has both numerical and categorical variables?

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aggregation of feature importance

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Best practice with cross validation

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What is the best way to train a model?

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Using a pipeline and transforming data with imputing and OneHotEncoding performs worse than get_dummies

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Imputation of missing values and dealing with categorical values

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Overfitting with sklearn pipeline - reasons why?

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Randomforest code taking longer time every iteration

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Dealing with high number of NAs in a classification problem

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How to deal with large proportion of missing values in categorical variable

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Three data sets in one plot in Tableau

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Accepted

Encoding feature containing both text and string?

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Accepted

What is the problem that causes overfitting in the code?

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Accepted

Select one best model according to accuracy, precision, recall, f1 score and roc score

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Accepted

Decision Tree taking too long to execute

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How to cluster/group these data points (using K-Mean or Hirarachal clustering)

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How to restructure my dataset for interpretability without losing performance?

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How to identify if there is a relationship between 5 categorical independent variables to a binary dependent variable?

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Accepted

Compare model accuracy when training with imbalanced and balanced data

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How to determine the number of K in KNN

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GridSeachCV not performing well on ML models

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Need help to increase classification accuracy for classified ads posting